Journal articles: 'Multicriteria- Spatial Decision Support System'

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Bensalloua, Charef Abdallah, and Djamila Hamdadou. "Spatial OLAP and Multicriteria Integrated Approach for Decision Support System." International Journal of Decision Support System Technology 10, no. 3 (July 2018): 1–26. http://dx.doi.org/10.4018/ijdsst.2018070101.

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This article describes how Spatial On-Line Analytical Processing, such a decisional technology, offers the possibilities of spatial and multidimensional analysis of data stored in multidimensional structure namely spatial data warehouse. However, this technology is limited in the quality aspect of the decision related to the multicriteria consideration. In the current article, the objective is to propose a Spatial Decision Support System namely “Silvicultura” for facilitating decision making in complex situations. This approach is based on integrating multicriteria analysis with SOLAP in order to enrich the spatial and multidimensional analysis with the contribution of MCA tools for mitigating conflict situations. The authors have based their proposal modeling on Unified Modeling language, since it is a well-known standard modeling language and can be easily extended for multidimensional modeling. Finally, in order to validate their proposal, the authors present a case study to show how to use it in the agroforestry management.

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Alçada-Almeida, Luís, João Coutinho-Rodrigues, and José-Paulo de Almeida. "Interactive multicriteria decision support system for spatial planning analysis." Proceedings of the Institution of Civil Engineers - Municipal Engineer 166, no. 1 (March 2013): 3–15. http://dx.doi.org/10.1680/muen.12.00010.

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Yatsalo, B., V. Didenko, A. Tkachuk, G. Gritsyuk, O. Mirzeabasov, V. Slipenkaya, A. Babutski, I. Pichugina, T. Sullivan, and I. Linkov. "Multi-Criteria Spatial Decision Support System DECERNS." International Journal of Information Systems and Social Change 1, no. 1 (January 2010): 11–30. http://dx.doi.org/10.4018/jissc.2010092902.

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Land-use planning and environmental management often requires an implementation of both geoyspatial information analysis and value-driven criteria within the decision-making process. DECERNS (Decision Evaluation in Complex Risk Network Systems) is a web-based distributed decision support system for multicriteria analysis of a wide range of spatially-explicit land management alternatives. It integrates mainly basic and some advanced GIS functions and implements several Multi-Criteria Decision Analysis (MCDA) methods and tools. DECERNS can also be integrated with a model server containing generic and site specific models for in-depth analysis of project and environmental risks as well as other decision criteria under consideration. This paper provides an overview of the modeling approaches as well as methods and tools used in DECERNS. Application of the DECERNS WebSDSS (Web-based Spatial Decision Support System) for a housing site selection case study is presented.

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Agrawal, Neelam, Kesari Verma, and Tarun Kumar. "Multicriteria Spatial Decision Support System for Soil Fertility Assessment in Agriculture." International Journal of Computer Applications 174, no. 10 (January 15, 2021): 29–34. http://dx.doi.org/10.5120/ijca2021920975.

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Hamdadou, Djamila, and Karim Bouamrane. "A spatial group decision support system: Coupling negotiation and multicriteria approaches." Intelligent Decision Technologies 10, no. 2 (March 1, 2016): 129–47. http://dx.doi.org/10.3233/idt-150244.

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Coutinho-Rodrigues, João, Ana Simão, and Carlos Henggeler Antunes. "A GIS-based multicriteria spatial decision support system for planning urban infrastructures." Decision Support Systems 51, no. 3 (June 2011): 720–26. http://dx.doi.org/10.1016/j.dss.2011.02.010.

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Benmoussa, Khadidja, Djamila Hamdadou, and Zine El Abidine Roukh. "Spatial Group Decision Support System to Facilitate Site Selection Negotiation Process, Reduce Decision-Maker Conflict, and Augment System Performance." International Journal of Organizational and Collective Intelligence 12, no. 1 (January 1, 2022): 1–28. http://dx.doi.org/10.4018/ijoci.304884.

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The selection of a suitable land requires careful thought and several criteria must be taken into account to ensure a good decision. Typically, selection processes are based on face-to-face meetings. But this strategy focuses on simple predefined searches and selections according to some basic criteria, such as land price, etc. They do not take into account spatially explicit criteria and spatial analyzes relevant to a site selection process (for example, proximity to hospital). To overcome these limitations, the proposed system relies on the integration of four key concepts: a multi-agent system, a multi-criteria method, geographic and ontological information systems. The results of the implementation provide manageability of large data storage. Despite the large number of approaches integrating geographic information systems and multicriteria analyzes, their use, in practice, is limited because they lack data semantics. As a result, the concept of ontology which introduces the semantics of the proposed approach offers many possibilities in terms of the type of terrain.

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Esmaelian, Majid, Madjid Tavana, Francisco J. Santos Arteaga, and Sommayeh Mohammadi. "A multicriteria spatial decision support system for solving emergency service station location problems." International Journal of Geographical Information Science 29, no. 7 (May 20, 2015): 1187–213. http://dx.doi.org/10.1080/13658816.2015.1025790.

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Marques, Marlene, Keith M. Reynolds, Susete Marques, Marco Marto, Steve Paplanus, and José G. Borges. "A Participatory and Spatial Multicriteria Decision Approach to Prioritize the Allocation of Ecosystem Services to Management Units." Land 10, no. 7 (July 16, 2021): 747. http://dx.doi.org/10.3390/land10070747.

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Forest management planning can be challenging when allocating multiple ecosystem services (ESs) to management units (MUs), given the potentially conflicting management priorities of actors. We developed a methodology to spatially allocate ESs to MUs, according to the objectives of four interest groups—civil society, forest owners, market agents, and public administration. We applied a Group Multicriteria Spatial Decision Support System approach, combining (a) Multicriteria Decision Analysis to weight the decision models; (b) a focus group and a multicriteria Pareto frontier method to negotiate a consensual solution for seven ESs; and (c) the Ecosystem Management Decision Support (EMDS) system to prioritize the allocation of ESs to MUs. We report findings from an application to a joint collaborative management area (ZIF of Vale do Sousa) in northwestern Portugal. The forest owners selected wood production as the first ES allocation priority, with lower priorities for other ESs. In opposition, the civil society assigned the highest allocation priorities to biodiversity, cork, and carbon stock, with the lowest priority being assigned to wood production. The civil society had the highest mean rank of allocation priority scores. We found significant differences in priority scores between the civil society and the other three groups, highlighting the civil society and market agents as the most discordant groups. We spatially evaluated potential for conflicts among group ESs allocation priorities. The findings suggest that this approach can be helpful to decision makers, increasing the effectiveness of forest management plan implementation.

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MALCZEWSKI, Jacek, and Mohammadreza JELOKHANI-NIARAKI. "An ontology-based multicriteria spatial decision support system: a case study of house selection." Geo-spatial Information Science 15, no. 3 (August 30, 2012): 177–85. http://dx.doi.org/10.1080/10095020.2012.715900.

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Jelokhani-Niaraki, Mohammadreza, and Jacek Malczewski. "A group multicriteria spatial decision support system for parking site selection problem: A case study." Land Use Policy 42 (January 2015): 492–508. http://dx.doi.org/10.1016/j.landusepol.2014.09.003.

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Irfan, Muhammad, Aleksandra Koj, Majid Sedighi, and Hywel Thomas. "Design and development of a generic spatial decision support system, based on artificial intelligence and multicriteria decision analysis." GeoResJ 14 (December 2017): 47–58. http://dx.doi.org/10.1016/j.grj.2017.08.003.

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Jajac, Nikša, Jelena Kilić, and Katarina Rogulj. "An Integral Approach to Sustainable Decision-Making within Maritime Spatial Planning—A DSC for the Planning of Anchorages on the Island of Šolta, Croatia." Sustainability 11, no. 1 (December 25, 2018): 104. http://dx.doi.org/10.3390/su11010104.

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The planning of nautical tourism development and especially, the planning of its supporting infrastructure development, is important topic of the maritime spatial planning. The focus of research is the integration of multicriteria analysis and stakeholders within concept modeling that will provide support to the spatial planning specialists in the design of plans related to the development of anchorage capacities for small vessels. It examines economic, environmental, ecological, social, and civil engineering concerns related to the use of coastal water. It is a complex and ill-defined civil engineering problem because of multiple stakeholders with diverse interests, numerous conflicting goals and criteria, huge quantities of information and data, limited resources, etc. The research is concentrated on an integral approach to sustainable decision-making within maritime spatial planning by the modeling decision support concept to the processes of identification, validation, comparison, and the selection of locations for anchorage construction, based on multicriteria methods, goal analysis, and the logic of the decision support system. The concept is tested on the island of Šolta, Croatia, and has been proven as being an applicable, consistent, efficient, and effective methodology for the planning of the anchorage locations.

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Lombardi, Patrizia, and Valentina Ferretti. "New spatial decision support systems for sustainable urban and regional development." Smart and Sustainable Built Environment 4, no. 1 (May 18, 2015): 45–66. http://dx.doi.org/10.1108/sasbe-07-2014-0039.

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Purpose – Policy makers are frequently challenged by the need to achieve sustainable development in cities and regions. Current decision-making processes are based on evaluation support systems which are unable to tackle the problem as they cannot take a holistic approach or a full account of actors. The purpose of this paper is to present a new generation of evaluation systems to support decision making in planning and regeneration processes which involve expert participation. These systems ensure network representation of the issues involved and visualization of multiple scenarios. Design/methodology/approach – A literature review is used for both revising existing evaluation tools in urban planning and the built environment and highlighting the need to give stakeholders (industry, cities, operators, etc.) new tools for collaborative or individual decisions and to facilitate scaling up solutions. An overview of the new generation of decision support systems, named Multicriteria Spatial Decision Support Systems (MC-SDSS) is provided and real case studies are analyzed to show their ability to tackle the problem. Findings – Recent research findings highlight that decisions in urban planning should be supported by collaborative and inclusive processes. Otherwise, they will fail. The case studies illustrated in this study highlight the usefulness of MC-SDSS for the successful resolution of complex problems, thanks to the visualization facilities and a network representation of the scenarios. Research limitations/implications – The case studies are limited to the Italian context. Practical implications – These SDSS are able to empower planners and decision makers to better understand the interaction between city design, social preferences, economic issues and policy incentives. Therefore, they have been employed in several case studies related to territorial planning and regeneration processes. Originality/value – This study provides three case studies and a review of the new MC-SDSS methodology which involve the Analytic Network Process technique to support decision-making in urban and regional planning.

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Fu, Yanli, Changfeng Jing, and Mingyi Du. "URBAN RAIN GAUGE SITING SELECTION BASED ON GIS-MULTICRITERIA ANALYSIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 7, 2016): 185–90. http://dx.doi.org/10.5194/isprs-archives-xli-b2-185-2016.

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With the increasingly rapid growth of urbanization and climate change, urban rainfall monitoring as well as urban waterlogging has widely been paid attention. In the light of conventional siting selection methods do not take into consideration of geographic surroundings and spatial-temporal scale for the urban rain gauge site selection, this paper primarily aims at finding the appropriate siting selection rules and methods for rain gauge in urban area. Additionally, for optimization gauge location, a spatial decision support system (DSS) aided by geographical information system (GIS) has been developed. In terms of a series of criteria, the rain gauge optimal site-search problem can be addressed by a multicriteria decision analysis (MCDA). A series of spatial analytical techniques are required for MCDA to identify the prospective sites. With the platform of GIS, using spatial kernel density analysis can reflect the population density; GIS buffer analysis is used to optimize the location with the rain gauge signal transmission character. Experiment results show that the rules and the proposed method are proper for the rain gauge site selection in urban areas, which is significant for the siting selection of urban hydrological facilities and infrastructure, such as water gauge.

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Fu, Yanli, Changfeng Jing, and Mingyi Du. "URBAN RAIN GAUGE SITING SELECTION BASED ON GIS-MULTICRITERIA ANALYSIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 7, 2016): 185–90. http://dx.doi.org/10.5194/isprsarchives-xli-b2-185-2016.

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With the increasingly rapid growth of urbanization and climate change, urban rainfall monitoring as well as urban waterlogging has widely been paid attention. In the light of conventional siting selection methods do not take into consideration of geographic surroundings and spatial-temporal scale for the urban rain gauge site selection, this paper primarily aims at finding the appropriate siting selection rules and methods for rain gauge in urban area. Additionally, for optimization gauge location, a spatial decision support system (DSS) aided by geographical information system (GIS) has been developed. In terms of a series of criteria, the rain gauge optimal site-search problem can be addressed by a multicriteria decision analysis (MCDA). A series of spatial analytical techniques are required for MCDA to identify the prospective sites. With the platform of GIS, using spatial kernel density analysis can reflect the population density; GIS buffer analysis is used to optimize the location with the rain gauge signal transmission character. Experiment results show that the rules and the proposed method are proper for the rain gauge site selection in urban areas, which is significant for the siting selection of urban hydrological facilities and infrastructure, such as water gauge.

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Triantakonstantis, Dimitris, Spyridon Detsikas, Victor Kavvadias, Zoi Papadopoulou, Panagiotis Sparangis, Nikolaos Katsenios, Dimitrios Vlachakis, and Aspasia Efthimiadou. "Land Suitability Assessment for Olive Mill Wastewater Disposal by Integrating Multicriteria Decision Support Tools." EMBnet.journal 26, no. 1 (August 3, 2021): e947. http://dx.doi.org/10.14806/ej.26.1.947.

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Many on-site waste disposal systems fail regularly due to problems concerning suitable location and management. A potential environmental threat is inevitably propagated through on-site, off-site, downstream, soil surface and ground water pollution. Soil is a key component of land suitability for waste disposal. This paper presents a Geographic Information Systems (GIS) – based integrated multicriteria decision support system for evaluating the land suitability for olive mill wastewater (OMWW) disposal in the Mediterranean region. Two-scaled classification schemes are developed, the global scheme for Central and South Greece (scale: 1:30.000) and the local scheme for the study area in Xiromero, Aetolia-Acarnania Prefecture, Western Greece, scale 1:10.000. Constrains and factors are included into the spatial decision-making framework, where geostatistical and fuzzy set theory techniques, as well as Analytical Hierarchy Process (AHP) are appropriately integrated. Physical, chemical, and socioeconomic variables adapted to the Mediterranean soil conditions are incorporated as driving forces for the land suitability assessment and the produced maps reveal valuable results for final end-users, such as municipal authorities, agriculturalists, farmers and other national and local stakeholders.

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Ferretti, Valentina. "A Multicriteria Spatial Decision Support System Development for Siting a Landfill in the Province of Torino (Italy)." Journal of Multi-Criteria Decision Analysis 18, no. 5-6 (September 2011): 231–52. http://dx.doi.org/10.1002/mcda.493.

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Nemdili, Amel Kahina, and Djamila Hamdadou. "Modeling of an active multi-agent environment for the design of a multi-criteria group decision support system." Multiagent and Grid Systems 17, no. 1 (April 19, 2021): 83–111. http://dx.doi.org/10.3233/mgs-210344.

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In the present study, the research problem concerns business intelligence, more precisely collaborative decision-making. The authors propose a complete modeling of a multi-agent active environment for the design of a multicriteria group decision support system dedicated to the spatial problem of localization in territory planning. The proposed model is called ActiveGDSS (Active Group Decision Support System) which uses a coupling between a geographic information system and a multi agents system and is endowed by a new negotiation protocol based on the concession allowing reaching to a consensus which satisfies the territorial actors. The main purpose is to integrate the principle of contextual activation in the modeling of the system which makes the environment an active entity. The main advantages of contextual activation are efficiency gain in terms of execution, better flexibility and reuse of agent behaviors.

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Oppio, Alessandra, Marta Bottero, and Valentina Ferretti. "Multicriteria Spatial Analysis for Competitive Cultural Heritage in Fringe Areas: The Case of Valle d’Aosta Vastles." Advanced Engineering Forum 11 (June 2014): 579–84. http://dx.doi.org/10.4028/www.scientific.net/aef.11.579.

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The Alpine territories show a strong potential in reaching the targets set out by the European policies related to smart, sustainable and inclusive growth. The present paper reflects about the role of cultural heritage in supporting local development processes in mountain areas. In particular, Valle d’Aosta castles’ system (Italy) is considered in the study, with particular reference to the analysis of the opportunities and the risks at the regional scale. The results of the work delineate how Multicriteria-Spatial Decision Support Systems (MC-SDSS) can support the definition of enhancement strategies by providing a wide and integrated knowledge of the cultural heritage under investigation. The introduction of MC-SDSS in the field of historical assets’ conservation is quite innovative. Differently from the traditional analysis, the use of such an integrated approach allows decision maker to consider the spatial features of each development option and to evaluate simultaneously their multidimensional impacts.

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Marčeta, Dane, Vladimir Petković, Darko Ljubojević, and Igor Potočnik. "Harvesting System Suitability as Decision Support in Selection Cutting Forest Management in Northwest Bosnia and Herzegovina." Croatian journal of forest engineering 41, no. 2 (April 15, 2020): 251–65. http://dx.doi.org/10.5552/crojfe.2020.744.

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Planning of forest harvesting operations is one of the key elements of successful forest management. The integration of modern tools and traditional forestry procedures is something that must be done in contemporary forestry. This research investigated the use of multicriteria decision support (AHP) and GIS in choosing the optimal harvesting system for predominantly selection cutting forest management on the example of two Forest Management Units (FMU). Results showed that AHP could be easily integrated into GIS using the extAHP tool and its results could be of help, along with other input data, in choosing the optimal harvesting system. Spatial analysis of raster data in GIS gives a comprehensive insight into the stand and terrain characteristics and shows the relative share of the area proposed for each system. In FMU »Kozara–Mlječanica«, the harvesting system chainsaw-skidder had the highest relative share with 44% of the area, meaning that it is almost the only harvesting system in current use, followed by chainsaw-forwarder (36%), chainsaw-cable yarder (19%), and chainsaw-adapted agriculture tractor (AAT) (1%). The system harvester-forwarder was not used at all, which is understandable considering that FMU »Kozara–Mlječanica« has a higher average slope and higher diameter of trees to be cut than FMU »Prosara«, where harvester-forwarder system accounts for a significant 36% of the area. The dominant system in FMU »Prosara« was chainsaw-forwarder (42%), followed by chainsaw-cable yarder (17%), chainsaw-skidder (4%) and chainsaw-AAT (1%). It should be noted that the presence of chainsaw-skidder system is insignificant. It is replaced by the system chainsaw-forwarder. Traditional harvesting system chainsaw-skidder, which prevails in Bosnia and Herzegovina, should be upgraded with the new technologies and methods. Using tools like multicriteria decision support and GIS could be of great help in that process.

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Jankowski, P., and L. Richard. "Integration of GIS-based suitability analysis and multicriteria evaluation in a spatial decision support system for route selection." Environment and Planning B: Planning and Design 21, no. 3 (1994): 323–40. http://dx.doi.org/10.1068/b210323.

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Demesouka, O. E., A. P. Vavatsikos, and K. P. Anagnostopoulos. "Suitability analysis for siting MSW landfills and its multicriteria spatial decision support system: Method, implementation and case study." Waste Management 33, no. 5 (May 2013): 1190–206. http://dx.doi.org/10.1016/j.wasman.2013.01.030.

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Hickey, R., and P. Jankowski. "GIS and Environmental Decisionmaking to Aid Smelter Reclamation Planning." Environment and Planning A: Economy and Space 29, no. 1 (January 1997): 5–19. http://dx.doi.org/10.1068/a290005.

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Abandoned mines and mining-related activities typically cause environmental problems related to erosion and pollutant transport. Traditional methods of smelter reclamation plan design are hampered by the lack of data integration and by time-consuming analysis. The proposed spatial decision-support system will minimize these problems as data integration and analysis are offered within one computerized environment. A geographical information system (GIS), remotely sensed data, erosion modeling, and multicriteria decisionmaking (MCDM) methods have been integrated to support reclamation procedures better. Integration of the digital data sources and analysis will produce more realistic, up-to-date models of damaged lands. This methodology is applicable to any number of damaged sites, including mine sites, smelter sites, widespread hazardous-waste sites, and areas negatively impacted by intense agriculture or forestry. The system has been tested at the Anaconda smelter site, an Environmental Protection Agency superfund site near Butte, Montana. The primary surficial problems are related to metal toxicity and transport. In addition to producing a description of the physical conditions at the entire site, the system provides spatial decision-support capabilities for generating and evaluating revegetation strategies for the site with the use of different priority schemes.

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Assumma, Vanessa, Marta Bottero, Alessio Ishizaka, and Menelaos Tasiou. "Group Analytic Hierarchy Process Sorting II Method: An Application to Evaluate the Economic Value of a Wine Region Landscape." Environmental Modeling & Assessment 26, no. 3 (April 17, 2021): 355–69. http://dx.doi.org/10.1007/s10666-020-09744-4.

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AbstractIn the ongoing context of climate change, there is an increasing need to support decision-making processes in the domain of landscape planning and management. Suitable evaluation techniques are needed to take into account the interests of actors and stakeholders in shared policy decisions. An important methodological contribution to the field is given by the Multicriteria Decision Analysis (MCDA), due to its ability to combine multiple aspects of a decision problem with the values and opinions expressed by different Decision Makers. The present paper develops the “Group Analytic Hierarchy Process Sorting II method” (GAHPSort II), which aims to sort a group of municipalities included in the UNESCO site “Vineyard Landscape of Piedmont: Langhe-Roero, and Monferrato” (Italy) according to the economic attractiveness of the landscape. Extending the previous versions AHPSort I, AHPSort II and GAHPSort, the GAHPSort II optimizes multi-stakeholder evaluations on large databases by reducing the number of comparisons. Moreover, the GAHPSort II method is proposed as a novel spatial decision support system because it combines a set of economic indicators for landscape and GIS methods for aiding the Decision Makers to better understand the case study and to support the definition and localization of policies and strategies of landscape planning and management.

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Bosque Sendra, Joaquin. "Hacia un sistema de ayuda a la decision espacial para la localización de equipamientos." Estudios Geográficos 61, no. 241 (November 29, 2017): 567. http://dx.doi.org/10.3989/egeogr.2000.i241.542.

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Se describe el contenido y organización de un Sistema de Ayuda a la Decisión Espacial (SADE) (Spatial Decision Support System, SDSS), basado en un Sistema de Información Geográfica, diferentes modelos de localización-asignación y técnicas de evaluación multicriterio, que permita auxiliar a la determinación de la localización óptima de equipamientos sociales. [fr] On décrit le sujet et l'organisation d'un système d'aide á la décision spatial (Spatial Decision Support System, SDSS) à fin de prendre une décision (du point de vuespatial) obtenu á partir de: un Système d'Information Géographique (GIS), des différents modèles du localisation-assignation et du techniques d'Analyses Multicritère, qui permet nous aider à prendre une détermination la plus valable pour obtenir une localisation des équipaments sociaux.

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Wyszyński, Marek, Michał Grudziński, Krzysztof Pokonieczny, and Marek Kaszubowski. "The Assessment of COVID-19 Vulnerability Risk for Crisis Management." Applied Sciences 12, no. 8 (April 18, 2022): 4090. http://dx.doi.org/10.3390/app12084090.

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The subject of this article is to determine COVID-19 vulnerability risk and its change over time in association with the state health care system, turnover, and transport to support the crisis management decision-making process. The aim was to determine the COVID-19 Vulnerability Index (CVI) based on the selected criteria. The risk assessment was carried out with methodology that includes the application of multicriteria analysis and spatiotemporal aspect of available data. Particularly the Spatial Multicriteria Analysis (SMCA) compliant with the Analytical Hierarchy Process (AHP), which incorporated selected population and environmental criteria were used to analyse the ongoing pandemic situation. The influence of combining several factors in the pandemic situation analysis was illustrated. Furthermore, the static and dynamic factors to COVID-19 vulnerability risk were determined to prevent and control the spread of COVID-19 at the early stage of the pandemic situation. As a result, areas with a certain level of risk in different periods of time were determined. Furthermore, the number of people exposed to COVID-19 vulnerability risk in time was presented. These results can support the decision-making process by showing the area where preventive actions should be considered.

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Khoshand, Afshin, Ali Hasani Bafrani, Mohammad Zahedipour, Seyed Ahmad Mirbagheri, and Majid Ehtehsami. "Prevention of landfill pollution by multicriteria spatial decision support systems (MC-SDSS): development, implementation, and case study." Environmental Science and Pollution Research 25, no. 9 (January 6, 2018): 8415–31. http://dx.doi.org/10.1007/s11356-017-1099-3.

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Marto, Marco, Keith Reynolds, José Borges, Vladimir Bushenkov, and Susete Marques. "Combining Decision Support Approaches for Optimizing the Selection of Bundles of Ecosystem Services." Forests 9, no. 7 (July 21, 2018): 438. http://dx.doi.org/10.3390/f9070438.

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This study examines the potential of combining decision support approaches to identify optimal bundles of ecosystem services in a framework characterized by multiple decision-makers. A forested landscape, Zona de Intervenção Florestal of Paiva and Entre-Douro and Sousa (ZIF_VS) in Portugal, is used to test and demonstrate this potential. The landscape extends over 14,388 ha, representing 1976 stands. The property is fragmented into 376 holdings. The overall analysis was performed in three steps. First, we selected six alternative solutions (A to F) in a Pareto frontier generated by a multiple-criteria method within a web-based decision support system (SADfLOR) for subsequent analysis. Next, an aspatial strategic multicriteria decision analysis (MCDA) was performed with the Criterium DecisionPlus (CDP) component of the Ecosystem Management Decision Support (EMDS) system to assess the aggregate performance of solutions A to F for the entire forested landscape with respect to their utility for delivery of ecosystem services. For the CDP analysis, SADfLOR data inputs were grouped into two sets of primary criteria: Wood Harvested and Other Ecosystem Services. Finally, a spatial logic-based assessment of solutions A to F for individual stands of the study area was performed with the NetWeaver component of EMDS. The NetWeaver model was structurally and computationally equivalent to the CDP model, but the key NetWeaver metric is a measure of the strength of evidence that solutions for specific stands were optimal for the unit. We conclude with a discussion of how the combination of decision support approaches encapsulated in the two systems could be further automated in order to rank several efficient solutions in a Pareto frontier and generate a consensual solution.

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Tsangaratos, P., T. Pizpikis, E. Vasileiou, F. Pliakas, C. Schuth, and A. Kallioras. "Development of multi-criteria decision support system (DSS) coupled with GIS for identifying optimal locations for soil aquifer treatment (SAT) facilities." Bulletin of the Geological Society of Greece 47, no. 2 (January 24, 2017): 789. http://dx.doi.org/10.12681/bgsg.11115.

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Managed Aquifer Recharge is a wide-spread well-established groundwater engineering method which is largely seen as an alternative potential major source for water and this conclusion becomes even more pronounced in semi-arid and/or arid areas, such as the Mediterranean Basin. The process of site selection for the installation of a MAR facility is of paramount importance for the feasibility and effectiveness of the project itself, especially when the facility will include the use of waters of impaired quality as a recharge source. The main objective of this study is to present the developed framework of a multicriteria Decision Support System (DSS) that integrates within a dynamic platform: the main groundwater engineering parameters associated with MAR applications together with the general geographical features which determine the effectiveness of such a project. The proposed system will provide an advanced coupled DSS-GIS tool capable of handling local MAR-related issues -such as hydrogeology, topography, soil, climate etc., and spatially distributed variables -such as societal, economic, administrative, legislative etc., with special reference to Soil-Aquifer- Treatment technologies. The new SAT-selection tool in question is integrated in ArcGIS software -within a user friendly environment- where data can be processed and displayed using Arc tools for spatial analysis.

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LAHMAR, Belkacem, Hadda DRIDI, and Ahmed AKAKBA. "A GIS-BASED MULTICRITERIA SPATIAL DECISION SUPPORT SYSTEM MODEL TO HANDLE HEALTH FACILITIES RESOURCES. CASE OF CRISIS MANAGEMENT IN BATNA, ALGERIA." Geographia Technica 15, no. 1 (March 26, 2020): 173–87. http://dx.doi.org/10.21163/gt_2020.151.16.

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Maleki, Saeideh, Ali Reza Soffianian, Saeid Soltani Koupaei, Saeid Pourmanafi, and Sassan Saatchi. "Wetland restoration prioritizing, a tool to reduce negative effects of drought; An application of multicriteria-spatial decision support system (MC-SDSS)." Ecological Engineering 112 (March 2018): 132–39. http://dx.doi.org/10.1016/j.ecoleng.2017.12.031.

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Meyer, Burghard Christian, and Ralf Grabaum. "MULBO: Model framework for multicriteria landscape assessment and optimisation. A support system for spatial land use decisions." Landscape Research 33, no. 2 (April 2008): 155–79. http://dx.doi.org/10.1080/01426390801907428.

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Nodari, Claudia, Maurizio Crispino, and Emanuele Toraldo. "From Traditional to Electrified Urban Road Networks: The Integration of Fuzzy Analytic Hierarchy Process and GIS as a Tool to Define a Feasibility Index—An Italian Case Study." World Electric Vehicle Journal 13, no. 7 (June 29, 2022): 116. http://dx.doi.org/10.3390/wevj13070116.

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To achieve sustainable development in the road sector, the use of Electric Vehicles (EVs) appears as a positive response to transport emissions. Among the available technologies, dynamic charging seems to overcome the main weakness points of EVs, even if it requires that traditional roads (t-roads) be equipped with a system providing electricity for EVs. Thus, so-called electrified roads (e-roads) must be implemented into the urban road networks. Since it is not possible to electrify all roads simultaneously, and also to consider the demand needs of citizens, a selection criterion is essential. This research describes and develops a simple, self-explanatory, repeatable, and adaptable selection criterion aimed at helping city managers in prioritizing the roads of an urban network to be upgraded from t-road to e-road status. This method belongs to the so-called Multicriteria Spatial Decision Support Systems (MC-SDSS)—processes useful for solving spatial problems through the integration of multicriteria analysis (Fuzzy Analytic Hierarchy Process, F-AHP) with a geo-referenced data management and analysis tool (GIS). The developed algorithm is based on several criteria related to the infrastructure/transport, social and environmental areas. The result of the implemented method is a Feasibility Index (FI), able to prioritize the roads most eligible to be upgraded as e-roads, as also verified by its application on the urban area of Milan (Italy).

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Bottero, Marta, Elena Comino, Marco Duriavig, Valentina Ferretti, and Silvia Pomarico. "The application of a Multicriteria Spatial Decision Support System (MCSDSS) for the assessment of biodiversity conservation in the Province of Varese (Italy)." Land Use Policy 30, no. 1 (January 2013): 730–38. http://dx.doi.org/10.1016/j.landusepol.2012.05.015.

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Kamati, Klaudia, Julian Smit, and Simon Hull. "Multicriteria Decision Method for Siting Wind and Solar Power Plants in Central North Namibia." Geomatics 3, no. 1 (December 29, 2022): 47–68. http://dx.doi.org/10.3390/geomatics3010002.

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We demonstrate the application of geomatics tools (remote sensing and geographic information systems) for spatial data analysis to determine potential locations for wind and solar photovoltaic (PV) energy plants in the Central North region of Namibia. In accordance with sustainable development goal 7 (affordable and clean energy) and goal 13 (climate action), the Namibian government has committed to reducing reliance on fossil fuels. In support of this, suitable locations for renewable energy plants need to be identified. Using multi-criteria decision-making and the analytical hierarchy process, sites were selected considering topographical, economic, climatic, and environmental factors. It was found that the highest potential for solar PV energy plants is in the northwest, southwest, and southern regions of the study area, whereas only the northwest region is highly suitable for wind power plants. These results were substantiated by comparison with global suitability maps, with some differences due to the datasets used. The findings can be used as a guide by governments, commercial investors, and other stakeholders to determine prospective sites for the development of renewable energy in Central North Namibia.

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Kučas, Andrius. "LOCATION PRIORITIZATION BY MEANS OF MULTICRITERIA SPATIAL DECISION‐SUPPORT SYSTEMS: A CASE STUDY OF FOREST FRAGMENTATION‐BASED RANKING OF FOREST ADMINISTRATIVE AREAS." JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT 18, no. 4 (December 31, 2010): 312–20. http://dx.doi.org/10.3846/jeelm.2010.36.

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Forest and conservation managers as decision‐makers must deal with many competing criteria in order to find optimal solutions which best describe sustainable forest development. The aim of the study was to elaborate a framework for forest fragmentation‐based forest administrative area ranking in order to support sustainable forest development. In this paper there is presented and discussed a two‐stage multiple‐criteria spatial decision‐support system (MC–SDSS), employing it to locate a potential forest administrative area under different forest fragmentation conditions. Lithuanian state forest enterprises were selected as forest administrative areas and used as alternative options for ranking. Amount of forest areas, representing different forest fragmentation components (edge, perforated, undetermined, interior, patch, and transitional) in each state forest enterprise area, was taken as a criterion for alternative evaluation. Calculations of criterion significance were performed. Ranks for state forest enterprises were defined using technique for order preference by similarity to ideal solution (TOPSIS) and simple additive weighting (SAW) method. Results of this study suggest that forest fragmentation‐based ranking of forest administrative regions is so important that it could potentially influence ecological processes during recurring forest development. Santrauka Mišku ir saugomu teritoriju valdytojai, kaip sprendimu priemejai, ieškodami optimaliu darnios miško pletros sprendimu, dažnai susiduria su ivairiais, dažniausiai prieštaringai vertinamais, kriterijais. Šios studijos tikslas yra sukurti miško frag‐mentacija pagristus mišku administraciniu teritoriju rangavimo metodikos metmenis darnia miško pletra lemiančiu sprendimu priemimui palengvinti. Pateikiama ir apibendrinama dvieju lygiu erdviniu daugiatiksliu sprendimu paramos sistema (MC‐SDSS), skirta potencialiems mišku administraciniams vienetams su atitinkama miško fragmentacijos situacija nustatyti. Tyrimui kaip vertinimo alternatyvos buvo pasirinktos Lietuvos mišku urediju teritorijos. Alternatyvu vertinimo kriterijumi buvo pasirinktas skirtingu fragmentacijos tipu (miško pakraščio, prasiskverbiančio miško, nenustatyto miško, ištiso miško, retu miško želiniu ir pereinamosios miško stadijos) miško plotas kiekvienoje mišku uredijoje. Atlikti kriteriju reikšmingumo skaičiavimai. Prioritetu eile mišku uredijoms buvo nustatyta taikant iprastinio informacijos lygio TOPSIS ir SAWmetodus. Tyrimai parode, kad miško fragmentacija pagristas mišku administraciniu vienetu rangavimas yra svarbus ir potencialiai gali tureti itakos ekologiniams procesams, vykdant periodinius miško veisimo bei atnaujinimo darbus. Резюме Управляющие лесными хозяйствами и охраняемыми территориями как лица, ответственные за поиск и принятие оптимальных решений, способствующих сбалансированному развитию леса, нередко встречаются с разными, чаще всего противоречивыми критериями оценки. Целью настоящего исследования было создание каркаса методики ранжирования лесных административных территорий на основании фрагментации леса, предназначенной для облегчения принятия решений, обуславливающих сбалансированное развитие леса. В статье представлена и обобщена пространственная многоцелевая двухуровневая (MC-SDSS) система помощи в принятии решений, предназначенная для определения потенциальных лесных административных единиц с соответствующей ситуацией фрагментации леса. Для исследования были выбраны территории лесничеств Литвы как альтернативный вариант оценки. В каждом лесничестве были выбраны участки леса с разными типами фрагментации (окраины леса, проникающего леса, неопределенного леса, сплошного леса, пятнистого покрытия лесом и леса переходной стадии) в качестве критериев оценки альтернативных вариантов. Проведены подсчеты значимости критериев. Методами обычного уровня информации TOPSIS и SAW был определен ряд приоритетов. Исследования показали, что ранжирование административных единиц, основанное на фрагментации леса, является важным, так как оно потенциально может оказывать влияние на экологические процессы, происходящие при проведении периодических работ по созданию и обновлению леса.

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Al-Dogom, Diena, Rami Al-Ruzouq, Bahareh Kalantar, Karen Schuckman, Saeed Al-Mansoori, Sunanda Mukherjee, Hussain Al-Ahmad, and Naonori Ueda. "Geospatial Multicriteria Analysis for Earthquake Risk Assessment: Case Study of Fujairah City in the UAE." Journal of Sensors 2021 (September 25, 2021): 1–25. http://dx.doi.org/10.1155/2021/6638316.

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A clear understanding of the spatial distribution of earthquake events facilitates the prediction of seismicity and vulnerability among researchers in the social, physical, environmental, and demographic aspects. Generally, there are few studies on seismic risk assessment in United Arab Emirates (UAE) within the geographic information system (GIS) platform. Former researches and recent news events have demonstrated that the eastern part of the country experiences jolts of 3-5 magnitude, specifically near Fujairah city and surrounding towns. This study builds on previous research on the seismic hazard that extracted the eastern part of the UAE as the most hazard-prone zone. Therefore, this study develops an integrated analytical hierarchical process (AHP) and machine learning (ML) for risk mapping considering eight geospatial parameters—distance from shoreline, schools, hospitals, roads, residences, streams, confined area, and confined area slope. Experts’ opinions and literature reviews were the basis of the AHP ranking and weighting system. To validate the AHP system, support vector machine (SVM), decision tree (DT), and random forest (RF) classifiers were applied to the datasets. The datasets were split into 60 : 40 ratio for training and testing. Results show that SVM has the highest accuracy of 79.6% compared to DT and RF with a “predicted high” precision of 87.5% attained from the model. Risk maps from both AHP and ML approaches were developed and compared. Risk analysis was categorised into 5 classes “very high,” “high,” “moderate,” “low,” and “very low.” Both approaches modelled relatable spatial patterns as risk-prone zones. AHP approach concluded 3.6% as “very high” risk zone, whereas only 0.3% of total area was identified from ML. The total area for the “very high” (20 km2) and “high” (114 km2) risk was estimated from ML approach.

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Min Htoo, Tin, Helmut Yabar, and Takeshi Mizunoya. "GIS-Based Cluster and Suitability Analysis of Crop Residues: A Case Study in Yangon Region, Myanmar." Applied Sciences 12, no. 22 (November 21, 2022): 11822. http://dx.doi.org/10.3390/app122211822.

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In the study of biomass assessment, geospatial modeling-based analysis becomes crucial for the sustainable management of agriculture. Currently, there is no integrated sustainability assessment of the geographic information system (GIS) cluster or suitability analysis for the feedstock of crop residues. In order to fill this research gap and support the strategy of bioenergy formulation with the circular economy concept in agriculture residues in Myanmar, this study aims to assess the energy generation potential and site locations of treatment facilities for crop residue, utilizing the integrated assessment of GIS cluster and suitability modeling. The cluster analysis identifies the rice straw as the highest feedstock of crop residues and township-based high/low clusters. In addition, the electricity generation potential is estimated at 279.14 MW for different clusters of rice straw. Moreover, the suitability analysis in the study uses the conceptual model of variables for constraints and factors with the analytical hierarchy process (AHP) technique to evaluate the weights. The suitability analysis found high suitability areas of 14,603 hectares for treatment facilities within the high/low cluster of feedstock for rice straw. The multicriteria and GIS integrated assessment model adopted in this research can support the decision-makers in developing spatial-based strategic planning for bioenergy promotion which will support sustainable farming practices in Myanmar. Additionally, the proposed model is adaptable in study areas with similar feedstock.

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leBrasseur, Richard. "Mapping Green Infrastructure Based on Multifunctional Ecosystem Services: A Sustainable Planning Framework for Utah’s Wasatch Front." Sustainability 14, no. 2 (January 12, 2022): 825. http://dx.doi.org/10.3390/su14020825.

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Most sustainable planning frameworks assess natural and social–economic landscape systems as separate entities, and our understanding of the interrelationships between them is incomplete. Landscape classification in urbanizing environments requires an integrated spatial planning approach to better address the United Nation’s sustainable development challenges. The objective of this research is to apply a multicriteria evaluation which ranked diverse ecosystem–service producing landscapes and synthesize the findings within a unique green infrastructure spatial planning framework. Local government stakeholder derived weighting and GIS classification were operated to map both the urban and natural landscapes of the Salt Lake City region of Utah, one of the most rapidly urbanizing areas in North America. Results were assimilated through five regional landscape typologies—Ecological, Hydrological, Recreational, Working Lands, and Community—and indicated those highest ranked landscape areas which provided multiple ecosystem services. These findings support collaborative decision making among diverse stakeholders with overlapping objectives and illustrates pathways to the development of ecosystem service criteria. This paper contributes to a better understanding of how to integrate data and visualize the strategic approaches required for sustainable planning and management, particularly in urban and urbanizing regions where complex socioecological landscapes predominate.

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Zeydan, Mithat, Bülent Bostancı, and Burcu Oralhan. "A New Hybrid Decision Making Approach for Housing Suitability Mapping of an Urban Area." Mathematical Problems in Engineering 2018 (October 15, 2018): 1–13. http://dx.doi.org/10.1155/2018/7038643.

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In urban planning, housing evaluation of residential areas plays a critical role in promoting economic efficiency. This study produced an evolutionary-based map through the combination of hybrid Multicriteria Decision Making (MCDM) and Geographical Information System (GIS) by assessing suitability of housing location. Suitable locations were modelled and determined with the present study from very low suitability to very high suitability. In the first stage, Fuzzy DEMATEL (the Decision Making Trial and Evaluation Laboratory) and Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) under fuzzy conditions as a subjective and an objective (model-based) technique, respectively, were employed to find the weights of criteria which are critical part of decision making. In the second stage, housing evaluation map for these two approaches was drawn and their performances were classified and measured with WLC (Weighted Linear Combination) method. 29 criteria determined were prioritized as per judgment of urban planning and real estate experts for Fuzzy DEMATEL and CMA-ES. After having been coded to MATLAB for obtaining optimum weights in CMA-ES, all collected data for 160 houses were mapped as vectorial (positional) and transformed to raster (pixel) data by getting entered in ArcGIS 10.4 software. We achieved CMA-ES-WLC maximization values for 104 alternatives with (positive value) 65% performance, but we obtained FDEMATEL-WLC maximization values for 56 alternatives with (negative value) 35% performance. WLC values calculated with CMA-ES and FDEMATEL weights allowed us to conclude that the houses with the highest suitability in terms of investment are in Alpaslan, Köşk, and Melikgazi streets. The result shows that the methodology used in the application of this study performed in Turkey is an important and powerful technology in providing decision support for spatial planning.

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De Almeida, Franciane Carla, Eduarda Martiniano De Oliveira Silveira, Fausto Weimar Acerbí Junior, Luciano Cavalcante De Jesus França, Inácio Thomaz Bueno, and Breno José Oliveira Terra. "ANÁLISE MULTICRITÉRIO NA DEFINIÇÃO DE ÁREAS PRIORITÁRIAS PARA RECUPERAÇÃO FLORESTAL NA BACIA DO RIO DOCE, EM MINAS GERAIS." Nativa 8, no. 1 (February 5, 2020): 81. http://dx.doi.org/10.31413/nativa.v8i1.8130.

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A Floresta Atlântica é um dos ecossistemas mais fragmentado e explorado. Como atividades de restauração florestal são dispendiosas, a Análise de Decisão Multicritério (ADMC) integrada ao SIG (Sistema de Informações Geográficas) fornece um satisfatório suporte de decisão espacial para produção de mapas de forma eficiente. O colapso de uma barragem de mineração em áreas de floresta Atlântica, resultou na destruição de comunidades por rejeitos de mineração na bacia hidrográfica do Rio Doce. Assim, o objetivo deste estudo foi mapear áreas prioritárias para recuperação florestal na bacia do Rio Doce, Minas Gerais. Utilizou-se a ADMC baseada em SIG, e associada ao método do Processo Analítico Hierárquico (AHP) e Combinação Linear Ponderada (CLP). Cinco fatores foram utilizados com distintos pesos: distância da rede de drenagem, distância do fragmento de vegetação nativa, declividade, classe de solo e precipitação. De acordo com o mapa de áreas prioritárias produzido, 92,69% da área foi classificado como área de importância baixa ou muito baixa para recuperação florestal e, 7,31% como área de média, alta e muito alta prioridade. A ADMC é de fácil implementação, produzindo mapas que podem predizer as soluções adequadas para conduzir ações de recuperação, desde que a base de dados seja fidedigna para obter resultados satisfatórios.Palavras-chave: manejo de ecossistemas; combinação linear ponderada; processo analítico hierárquico. MULTRICRITERIA ANALYSIS TO DEFINE PRIORITY AREAS FOR FOREST RECOVERY IN THE RIO DOCE BASIN, MINAS GERAIS ABSTRACT: The Brazilian Atlantic forest is one of the most fragmented ecosystems and exploited Brazilian biome. As restoration activities are expensive, multicriteria decision analysis (MCDA) integrated with GIS (geographic information system) provide a satisfactory spatial decision support system to efficiently produce maps. The collapse of a mining dam in a region of Brazilian Atlantic forest, resulted in the destruction of communities by a river of mud and mining waste. Thus, the objective of this study was to map and identify priority areas for forest recover in the Rio Doce Basin, Minas Gerais. We used GIS-based multicriteria decision analysis associated with the analytic hierarchy process (AHP) and weighted linear combination (WLC) method in the aggregation of criteria. Five factors were used, receiving different weights: distance from the drainage network, distance from the native vegetation patches, slope, soil class and precipitation. According to the priority areas map, 92.69% of the area was classified as an area of low or very low importance for forest recovery and the remained (2.92%) of the Rio Doce basin was mapped as an area with high and very high priority for forest recovery. The ADMC is easy to implement, producing maps that can predict the right solutions to conduct recovery actions, provided the database is trusted for satisfactory results.Keywords: ecossystem management; linear weighted combination; analytical hierarchical process.

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Peprah, Michael Stanley, Bernard Kumi-Boateng, and Edwin Kojo Larbi. "PRIORITIZATION OF FOREST FIRE HAZARD RISK SIMULATION USING HYBRID GREY RELATIVITY ANALYSIS (HGRA) AND FUZZY ANALYTICAL HIERARCHY PROCESS (FAHP) COUPLED WITH MULTICRITERIA DECISION ANALYSIS (MCDA) TECHNIQUES – A COMPARATIVE STUDY ANALYSIS." Geodesy and cartography 47, no. 3 (November 9, 2021): 147–61. http://dx.doi.org/10.3846/gac.2021.13028.

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Forests are important dynamic systems which are widely attracted by wild fires worldwide. Due to the complexity and non-linearity of the causative forest fire problems, employing sophisticated hybrid evolutionary algorithms is a logical task to achieve a reliable approximation of this environmental threats. This estimate will provide the outline of priority areas for preventing activities and allocation of fire fighters’ stations, seeking to minimize possible damages caused by fires. This study aims at prioritizing the forest fire risk of Wassa West district of Ghana. The study considered static causative factors such as Land use and land cover (which include forest, built-ups and settlement areas), slope, aspect, linear features (water bodies and roads) and dynamic causative factors such as wind speed, precipitation, and temperature were used. The methods employed include a Hybrid Grey Relativity Analysis (HGRA) and Fuzzy Analytical Hierarchy Process (FAHP) techniques. The fuzzy sets integrated with AHP in a decision-making algorithm using geographic information system (GIS) was used to model the fire risk in the study area. FAHP and HGRA methods were used for estimating the importance (weights) of the effective factors in forest fire modelling. Based on their modelling methods, the expert ideas were used to express the relative importance and priority of the major criteria and sub-criteria in forest fire risk in the study area. The expert ideas were analyzed based on FAHP and HGRA. The major criteria models and fire risk model were presented based on these FAHP and HGRA weights. On the other hand, the spatial data of the sub criteria were provided and assembled in GIS environment to obtain the sub-criteria maps. Each sub-criterion map was converted to raster format and it was reclassified based on risks of its classes to fire occurrence. The maps of each major criterion were obtained by weighted overlay of its sub criteria maps considering to major criterion model in GIS environment. Finally, the map of fire risk was obtained by weighted overlay of major criteria maps considering to fire risk model in GIS. The results showed that the FAHP model showed superiority than HGRA in prioritizing forest fire risk of the study area in terms of statistical analysis with a standard deviation of 0.09277 m as compared to 0.1122 m respectively. The obtained fire risk map can be used as a decision support system for predicting of the future trends in the study area. The optimized structures of the proposed models could serve as a good alternative to traditional forest predictive models, and this can be a promisingly testament used for future planning and decision making in the proposed areas.

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Zulkifli, Muhammad, Cahyanto Cahyanto, Aris Tri Ika, and Indra Agustian. "DETERMINING THE FIRST PRIORITY OF THE FIRST ARSENAL LOCATION TO SUPPORT THE OPERATION OF THE INDONESIAN WARSHIP IN SAFETY OF THE EAST INDONESIAN SEA REGION WITH AHP METHODS." JOURNAL ASRO 10, no. 2 (July 24, 2019): 42. http://dx.doi.org/10.37875/asro.v10i2.128.

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Faced with conditions of life of the nation that continues to evolve into a multidimensional cover all areas of the life of the nation, then certainly required the development and deployment of the total potential and power of the nation effectively. Therefore it is the power that was developed to deal with these threats must also have the ability to multi-dimensional as well. Reality is always pushing to restructure the military concept of defense to become responsive and adaptable and tailored to the substance of the reforms in the defense. The main problem faced by Indonesia to develop a domestic defense industry is the inability of industry and education sectors to absorb the fundamental aspects of the Revolution in Military Affairs (RMA). This inability does not allow Indonesia to experience significant breakthroughs in the application of RMA. So with reference to the condition necessary to anticipate concrete steps in developing a systematic plan to build the defense industries are able to anticipate the revolution in military affairs. Among priorities at once by selecting the appropriate stages of the development plan which includes the development of Main Equipment Weapon System, Spatial Planning Area Defense, Civil Defense Development, and Spatial Structure of the Organization. And one of its efforts is the creation of the ability of military logistics support system effective and efficient and responsive, which in this case is the development of Arsenal's arsenal of weapons and ammunition in terms of both quality and quantity so that is always ready to face any condition of any contingency that would happen. Determining policy location Arsenal first location contains more choices in environmental issues multi-objective and multicriteria decision, then the model is proposed to be the appropriate methodology to accommodate the qualitative preference and priority-setting objectives/criteria for future development is to approach the Analytical Hierarchy Process (AHP). Principle of the AHP method is to break breaking a complex situation and unstructured, into its component parts, arranging these variables in a section or an order of hierarchy, giving numerical values to subjective considerations about the relative importance of each variable and analysis various considerations is to determine which variables have the highest priority and act to influence the outcome of the situation. From the results of the solution by using the AHP method showed that the first priority location determination Arsenal 1 in the eastern region is a factor analysis of logistics operations to support operations capabilities in the integrated logistics support system that effectively and efficiently. And the locations selected for Arsenal's first priority location is in the eastern region Lantamal Ambon.

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Deng, Jie, Tao Che, Cunde Xiao, Shijin Wang, Liyun Dai, and Akynbekkyzy Meerzhan. "Suitability analysis of ski areas in China: an integrated study based on natural and socioeconomic conditions." Cryosphere 13, no. 8 (August 15, 2019): 2149–67. http://dx.doi.org/10.5194/tc-13-2149-2019.

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Abstract. The successful bid for the 2022 Winter Olympics (Beijing 2022, officially known as the XXIV Olympic Winter Games) has greatly stimulated Chinese enthusiasm towards winter sports participation. Consequently, the Chinese ski industry is rapidly booming due to enormous market demand and government support. However, investing in ski areas in unreasonable locations will cause problems from an economic perspective (in terms of operation and management) as well as geographical concerns (such as environmental degradation). Therefore, evaluating the suitability of a ski area based on scientific metrics has become a prerequisite for the sustainable development of the ski industry. In this study, we evaluate the locational suitability of ski areas in China by integrating their natural and socioeconomic conditions using a linearly weighted method based on geographic information system (GIS) spatial analysis combined with remote sensing, online, and field survey data. The key indexes for evaluating natural suitability include snow cover, air temperature, topographic conditions, water resources, and vegetation, whereas socioeconomic suitability is evaluated based on economic conditions, accessibility of transportation, distance to a tourist attraction, and distance to a city. As such, metrics ranging from 0 to 1 considering both natural and socioeconomic conditions are used to define a suitability threshold for each candidate region for ski area development. A ski area is considered to be a dismal prospect when the locational integrated index is less than 0.5. The results show that 84 % of existing ski areas are located in areas with an integrated index greater than 0.5. Finally, corresponding development strategies for decision-makers are proposed based on the multicriteria metrics, which will be extended to incorporate potential influences from future climate change and socioeconomic development. However, the snowmaking model with local data should to be used to further analyze the suitability for a specific ski area.

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Hamdani, Nesrine, and Djamila Hamdadou. "A Multicriteria Group Decision Support System." International Journal of Information Technology and Web Engineering 14, no. 2 (April 2019): 1–26. http://dx.doi.org/10.4018/ijitwe.2019040101.

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In the present study, the authors propose a group decision support system (Web-GDSS), which allows multi-agents systems and multicriteria analysis systems to help decision-makers in order to obtain a collective decision, using web services. The proposed system operates on two main stages. First, decision-makers are in a different location away from each other. They must store their location in databases and invoke the appropriate web service. Second, in the case of negotiation between decision-makers, monotonic concession protocol will lead to an agreement using CONDORCET and BORDA voting methods.

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Zopounidis, Constantin, and Michael Doumpos. "PREFDIS: a multicriteria decision support system for sorting decision problems." Computers & Operations Research 27, no. 7-8 (June 2000): 779–97. http://dx.doi.org/10.1016/s0305-0548(99)00118-5.

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Teghem, Jacques, C. Delhaye, and Pierre L. Kunsch. "An interactive decision support system (IDSS) for multicriteria decision aid." Mathematical and Computer Modelling 12, no. 10-11 (1989): 1311–20. http://dx.doi.org/10.1016/0895-7177(89)90370-1.

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Sun, Xiaoqian, Volker Gollnick, Yongchang Li, and Eike Stumpf. "Intelligent Multicriteria Decision Support System for Systems Design." Journal of Aircraft 51, no. 1 (January 2014): 216–25. http://dx.doi.org/10.2514/1.c032296.

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Doumpos, Michael, and Constantin Zopounidis. "A multicriteria decision support system for bank rating." Decision Support Systems 50, no. 1 (December 2010): 55–63. http://dx.doi.org/10.1016/j.dss.2010.07.002.

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Journal articles on the topic 'Multicriteria- Spatial Decision Support System'

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