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Journal articles on the topic 'Multicriterion Decision Making'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Bonner, John, Kenneth J. Arrow, and Herve Raynaud. "Social Choice and Multicriterion Decision-Making." Economic Journal 97, no. 387 (September 1987): 753. http://dx.doi.org/10.2307/2232938.

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2

Raju, K. S., and D. N. Kumar. "Multicriterion decision making in irrigation planning." Agricultural Systems 62, no. 2 (November 1999): 117–29. http://dx.doi.org/10.1016/s0308-521x(99)00060-8.

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3

Raju, K. Srinivasa. "MULTICRITERION DECISION MAKING: A BRIEF OVERVIEW." ISH Journal of Hydraulic Engineering 15, sup1 (January 2009): 129–50. http://dx.doi.org/10.1080/09715010.2009.10514972.

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4

Osyczka, Andrzej. "An interactive multicriterion decision making system." Annual Review in Automatic Programming 12 (January 1985): 208–11. http://dx.doi.org/10.1016/0066-4138(85)90029-1.

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5

Gaur, Shishir, K. Srinivasa Raju, D. Nagesh Kumar, and Mayank Bajpai. "Multicriterion decision making in groundwater planning." Journal of Hydroinformatics 23, no. 3 (March 4, 2021): 627–38. http://dx.doi.org/10.2166/hydro.2021.122.

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Abstract The groundwater planning problems are often multiobjective. Due to conflicting objectives and non-linearity of the variables involved, several feasible solutions may have to be evolved rather than single optimal solution. In this study, the simulation model built on an Analytic Element Method (AEM) and the optimization model built on a Non-dominated Sorting Genetic Algorithm (NSGA-II) were coupled and applied to study a part of the Dore river catchment, France. The maximization of discharge, the minimization of pumping cost and the minimization of piping cost are the three objectives

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6

Lansdowne, Zachary F. "Ordinal ranking methods for multicriterion decision making." Naval Research Logistics 43, no. 5 (August 1996): 613–27. http://dx.doi.org/10.1002/(sici)1520-6750(199608)43:5<613::aid-nav2>3.0.co;2-8.

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7

Raju, K. Srinivasa, and D. Nagesh Kumar. "Fuzzy multicriterion decision making in irrigation planning." Irrigation and Drainage 54, no. 4 (2005): 455–65. http://dx.doi.org/10.1002/ird.197.

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8

Trosper, Ronald L. "MULTICRITERION DECISION-MAKING IN A TRIBAL CONTEXT." Policy Studies Journal 16, no. 4 (June 1988): 826–42. http://dx.doi.org/10.1111/j.1541-0072.1988.tb00688.x.

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9

Chan, F. T. S., H. K. Chan, and M. H. Chan. "An integrated fuzzy decision support system for multicriterion decision-making problems." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 217, no. 1 (January 1, 2003): 11–27. http://dx.doi.org/10.1243/095440503762502251.

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In order to compete effectively in today's rapidly changing world economy, decision making should be made fast and accurate, especially when many tangible and intangible factors are considered together. Making decisions to implement advanced manufacturing technologies (AMTs) is a good example. However, not all AMT implementations are successful because most of the conventional investment justification criteria are built on tangible factors, such as cost reduction, only. Intangiabl long-term benefits such as improvement in quality, increase in flexibility, and fast delivery are always disregard

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10

Piegat, Andrzej, and Wojciech Sałabun. "Identification of a Multicriteria Decision-Making Model Using the Characteristic Objects Method." Applied Computational Intelligence and Soft Computing 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/536492.

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This paper presents a new, nonlinear, multicriteria, decision-making method: the characteristic objects (COMET). This approach, which can be characterized as a fuzzy reference model, determines a measurement standard for decision-making problems. This model is distinguished by a constant set of specially chosen characteristic objects that are independent of the alternatives. After identifying a multicriteria model, this method can be used to compare any number of decisional objects (alternatives) and select the best one. In the COMET, in contrast to other methods, the rank-reversal phenomenon

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11

Raju, Komaragiri Srinivasa, and C. R. S. Pillai. "Multicriterion decision making in river basin planning and development." European Journal of Operational Research 112, no. 2 (January 1999): 249–57. http://dx.doi.org/10.1016/s0377-2217(98)00006-x.

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12

Asmar, Mounir El, Wafik Boulos Lotfallah, Wei-Yin Loh, and Awad S. Hanna. "Reducing Bias and Uncertainty in Multievaluator Multicriterion Decision Making." Journal of Computing in Civil Engineering 27, no. 2 (March 2013): 167–76. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000206.

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13

Raju, Komaragiri Srinivasa, and C. R. S. Pillai. "Multicriterion decision making in performance evaluation of an irrigation system." European Journal of Operational Research 112, no. 3 (February 1999): 479–88. http://dx.doi.org/10.1016/s0377-2217(98)00007-1.

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14

Tecle, Aregai. "SELECTING A MULTICRITERION DECISION MAKING TECHNIQUE FOR WATERSHED RESOURCES MANAGEMENT." Journal of the American Water Resources Association 28, no. 1 (February 1992): 129–40. http://dx.doi.org/10.1111/j.1752-1688.1992.tb03159.x.

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15

Lansdowne, Zachary F. "Outranking methods for multicriterion decision making: Arrow's and Raynaud's conjecture." Social Choice and Welfare 14, no. 1 (December 13, 1996): 125–28. http://dx.doi.org/10.1007/s003550050056.

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16

Chen, Shouyu, and Zhaocheng Hou. "MULTICRITERION DECISION MAKING FOR FLOOD CONTROL OPERATIONS: THEORY AND APPLICATIONS." Journal of the American Water Resources Association 40, no. 1 (February 2004): 67–76. http://dx.doi.org/10.1111/j.1752-1688.2004.tb01010.x.

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17

Pertiwi, Setyo, Toshio KONAKA, and Masayuki KOIKE. "Selection of Alternative Farm Work Plan By Multicriterion Decision-Making Technique." Japanese Journal of Farm Work Research 27, no. 1 (1992): 36–46. http://dx.doi.org/10.4035/jsfwr.27.36.

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18

Taghezout, Noria, and Pascale Zaratè. "Supporting a multicriterion decision making and multi-agent negotiation in manufacturing systems." Intelligent Decision Technologies 3, no. 3 (October 9, 2009): 139–55. http://dx.doi.org/10.3233/idt-2009-0061.

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19

A. Tecle and M. Yitayew. "PREFERENCE RANKING OF ALTERNATIVE IRRIGATION TECHNOLOGIES VIA A MULTICRITERION DECISION-MAKING PROCEDURE." Transactions of the ASAE 33, no. 5 (1990): 1509. http://dx.doi.org/10.13031/2013.31502.

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20

Başar, Tamer. "Social Choice and Multicriterion Decision-Making (Kenneth J. Arrow and Herve Raynaud)." SIAM Review 30, no. 1 (March 1988): 137–38. http://dx.doi.org/10.1137/1030018.

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21

Morankar, D. V. "Performance evaluation of irrigation network using fuzzy multicriterion group decision making technique." International Journal of Hydrology Science and Technology 3, no. 1 (2013): 13. http://dx.doi.org/10.1504/ijhst.2013.055230.

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22

Yang, Miin-Shen, and Zahid Hussain. "Fuzzy Entropy for Pythagorean Fuzzy Sets with Application to Multicriterion Decision Making." Complexity 2018 (November 1, 2018): 1–14. http://dx.doi.org/10.1155/2018/2832839.

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The concept of Pythagorean fuzzy sets (PFSs) was initially developed by Yager in 2013, which provides a novel way to model uncertainty and vagueness with high precision and accuracy compared to intuitionistic fuzzy sets (IFSs). The concept was concretely designed to represent uncertainty and vagueness in mathematical way and to furnish a formalized tool for tackling imprecision to real problems. In the present paper, we have used both probabilistic and nonprobabilistic types to calculate fuzzy entropy of PFSs. Firstly, a probabilistic-type entropy measure for PFSs is proposed and then axiomati

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23

Duckstein, Lucien, Ambrose Goicoechea, and Eric Parent. "Preface to the special issue on multicriterion decision making with engineering applications." Applied Mathematics and Computation 54, no. 2-3 (March 1993): 99. http://dx.doi.org/10.1016/0096-3003(93)90054-i.

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24

Coates, Dennis, and Michael Munger. "Guessing and Choosing: A Multicriterion Decision on Disposal Technology for Low-Level Radioactive Waste." Journal of Public Policy 11, no. 3 (July 1991): 275–90. http://dx.doi.org/10.1017/s0143814x0000533x.

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ABSTRACTPublic officials faced with difficult and technologically complex decisions often resort to decision rules that purport to aggregate disparate judgements. Such multicriterion decisions are only as good as the procedures used to perform such aggregation, however. We examine the use of one such decision-making tool, a variant of the Delphi technique, in the choice of a disposal technology for low-level radioactive waste for the Southeast Compact Commission in the United States. The case focuses on the danger when officials guess when they think they are choosing. Choosing occurs when all

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25

Guini, Fatimazahra, Abdellah El Barkany, Abdelouahhab Jabri, and El Hassan Irhirane. "An Approach for the Evaluation of a Product's Process Planning during the Design Phase through a Group Multi-Criteria Decision-Making." International Journal of Engineering Research in Africa 38 (September 2018): 154–62. http://dx.doi.org/10.4028/www.scientific.net/jera.38.154.

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The process planning of a product represents in the manufacturing industry a major element that determines the level of economic performance of the company. The development and evaluation of process planning during the industrialization phase of a product can cause problems of quality, cost or manufacturing time. Therefore, process planning needs to be evaluated early, during the design phase. The aim of this article is to propose to a manufacturing company a hybrid approach of multicriterion decision support, allowing evaluating the concepts proposed by the designer to choose the best concept

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26

Pu, Yongfeng, Fangwu Ma, Lu Han, and Guowang Wang. "Material Selection of Green Design Processes for Car Body via considering Environment Property." Mathematical Problems in Engineering 2020 (March 16, 2020): 1–8. http://dx.doi.org/10.1155/2020/9241634.

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Facing serious environmental degradation and its resulting of climate warming, how to conserve energy and reduce emissions becomes a serious issue for government supervisors and modern vehicle enterprises. Reducing the mass of a vehicle is one of the most effective ways to reduce emissions and improve fuel utilization, essential to persist the low-carbon and sustainable-development bases in industrial production processes. When it comes to the selection of lightweight material for a car body in the processes of vehicle production, it is essential to comprehensively evaluate multiple relevant a

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27

Bahill, A. Terry, Sten O. Dahlberg, and Robert A. Lowe. "1.2.3 Difficulties in Using Multicriterion Decision Making Techniques for Tradeoff Studies Selecting Amongst Alternative Concepts." INCOSE International Symposium 8, no. 1 (July 1998): 192–97. http://dx.doi.org/10.1002/j.2334-5837.1998.tb00028.x.

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28

Hwang, Bang-Ning, and Yung-Chi Shen. "Decision Making for Third Party Logistics Supplier Selection in Semiconductor Manufacturing Industry: A Nonadditive Fuzzy Integral Approach." Mathematical Problems in Engineering 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/918602.

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The semiconductor industry has a unique vertically disintegrated structure that consists of various firms specializing in a narrow range of the value chain. To ensure manufacturing and logistics efficiency, the semiconductor manufacturers considerably rely on 3PL suppliers to achieve supply chain excellence. However, 3PL supplier selection is a complex decision-making process involving multiple selection criteria. The goal of this paper is to identify the key 3PL selection criteria by employing the nonadditive fuzzy integral approach. Unlike the traditional multicriterion decision-making (MCDM

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29

Christofides, A., A. Efstratiadis, D. Koutsoyiannis, G. F. Sargentis, and K. Hadjibiros. "Resolving conflicting objectives in the management of the Plastiras Lake: can we quantify beauty?" Hydrology and Earth System Sciences 9, no. 5 (October 19, 2005): 507–15. http://dx.doi.org/10.5194/hess-9-507-2005.

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Abstract. The possible water management of the Plastiras Lake, an artificial reservoir in central Greece, is examined. The lake and surrounding landscape are aesthetically degraded when the water level drops, and the requirement of maintaining a high quality of the scenery constitutes one of the several conflicting water uses, the other ones being irrigation, water supply, and power production. This environmental water use, and, to a lesser extent, the requirement for adequate water quality, results in constraining the annual release. Thus, the allowed fluctuation of reservoir stage is not def

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30

Christofides, A., A. Efstratiades, G. F. Sargentis, D. Koutsoyiannis, and K. Hadjibiros. "Resolving conflicting objectives in the management of the Plastiras Lake: can we quantify beauty?" Hydrology and Earth System Sciences Discussions 2, no. 3 (May 30, 2005): 801–19. http://dx.doi.org/10.5194/hessd-2-801-2005.

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Abstract. The possible water management of the Plastiras Lake, an artificial reservoir in central Greece, is examined. The lake and surrounding landscape is aesthetically degraded when the water level drops, and the requirement of maintaining a high quality of the scenery constitutes one of the several conflicting water uses, the other ones being irrigation, water supply, and power production. This environmental water use, and, to a lesser extent, the requirement for adequate water quality, results in constraining the annual release. Thus, the allowed fluctuation of reservoir stage is not defi

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31

Raju, K. Srinivasa, and Lucien Duckstein. "Integrated application of cluster and multicriterion analysis for ranking water resources planning strategies: a case study in Spain." Journal of Hydroinformatics 6, no. 4 (October 1, 2004): 295–307. http://dx.doi.org/10.2166/hydro.2004.0022.

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Integrated application of cluster analysis and Multicriterion Decision-Making (MCDM) is employed for the case study of the Flumen Monegros irrigation area in the Huesca province of Spain. Economic, environmental and social criteria are used to rank alternative strategies. Alternative strategies are formulated by mixing factors such as irrigation systems, water pricing, water allocation, crop distribution, fertiliser use and subsidies received. Cluster analysis is employed to reduce the large size payoff matrix to a manageable subset for further use of the MCDM technique. ELECTRE-3, an MCDM tec

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32

Roy, Sourav, Avik Paul, Ashish Paul, Shresth Kashyap, and Arunabha Jana. "Ranking Barriers of Supply Chain Management by MCDM Method During Disaster Management." International Journal of System Dynamics Applications 10, no. 2 (April 2021): 1–16. http://dx.doi.org/10.4018/ijsda.2021040101.

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Disasters are often described as a result of the combination of the exposure to a hazard, the conditions of vulnerability that are present, and insufficient capacity or measures to reduce or cope with the potential negative consequences. The inability to accurately predict these types of events underscores the need for countries to have disaster response plans to mobilize appropriate resources rapidly and efficiently. A well-defined organizational structure also must be created to coordinate both national and international assistance. Human race is always a fighter of natural calamities and di

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33

El-Alfy, El-Sayed M., and Feras N. Al-Obeidat. "Detecting Cyber-Attacks on Wireless Mobile Networks Using Multicriterion Fuzzy Classifier with Genetic Attribute Selection." Mobile Information Systems 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/585432.

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With the proliferation of wireless and mobile network infrastructures and capabilities, a wide range of exploitable vulnerabilities emerges due to the use of multivendor and multidomain cross-network services for signaling and transport of Internet- and wireless-based data. Consequently, the rates and types of cyber-attacks have grown considerably and current security countermeasures for protecting information and communication may be no longer sufficient. In this paper, we investigate a novel methodology based on multicriterion decision making and fuzzy classification that can provide a viabl

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34

GUSARINA, NATALIYA. "MULTI-CRITERIA SELECTION ON A FINITE SET OF ALTERNATIVE MANAGEMENT OF INNOVATIVE ACTIVITY UNDER UNCERTAINTY�." Economic innovations 20, no. 1(66) (March 20, 2018): 62–68. http://dx.doi.org/10.31520/ei.2018.20.1(66).62-68.

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Topicality. The study of theoretical and practical problems of managing the economic development of enterprises on the basis of innovations is an important direction of the economic development of enterprises. The urgency of the research is determined by the need for strategic management of innovation activity in the conditions of unpredictable influences of dynamic changes in the external environment.Aim and tasks. The aim of the article is a ground of methodical receptions of multicriterion evaluation of management alternatives by innovative activity, to economic essence of criteria and area

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35

Daneshvar Rouyendegh, Babak, Abdullah Yildizbasi, and Ümmühan Z. B. Arikan. "Using Intuitionistic Fuzzy TOPSIS in Site Selection of Wind Power Plants in Turkey." Advances in Fuzzy Systems 2018 (August 16, 2018): 1–14. http://dx.doi.org/10.1155/2018/6703798.

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The reduction of energy resources and the increase in environmental consciousness have recently increased the interest in renewable energy sources. Wind energy is from renewable energy sources, which are used in many countries. Turkey has a lot alternative wind energy plants thanks to its favorable geographical location. Where the wind power plant is to be established is a complex and important decisive factor. It is very important to select the appropriate wind power plant site to take advantage of wind energy and reduce costs. In this study, we aimed to reach the solution of wind energy plan

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36

Srinivasa Raju, K., and D. Nagesh Kumar. "Ranking general circulation models for India using TOPSIS." Journal of Water and Climate Change 6, no. 2 (August 18, 2014): 288–99. http://dx.doi.org/10.2166/wcc.2014.074.

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Eleven general circulation models/global climate models (GCMs) – BCCR-BCCM2.0, INGV-ECHAM4, GFDL2.0, GFDL2.1, GISS, IPSL-CM4, MIROC3, MRI-CGCM2, NCAR-PCMI, UKMO-HADCM3 and UKMO-HADGEM1 – are evaluated for Indian climate conditions using the performance indicator, skill score (SS). Two climate variables, temperature T (at three levels, i.e. 500, 700, 850 mb) and precipitation rate (Pr) are considered resulting in four SS-based evaluation criteria (T500, T700, T850, Pr). The multicriterion decision-making method, technique for order preference by similarity to an ideal solution, is applied to ra

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37

SALUKVADZE, M. E., R. SH GOGSADZE, and N. I. JIBLADZE. "TO THE FORMALIZATION OF THE ESTIMATES OF THE PHENOMENON STATE." International Journal of Information Technology & Decision Making 06, no. 04 (December 2007): 599–610. http://dx.doi.org/10.1142/s0219622007002708.

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The questions of the formalization of the estimates of the phenomenon state, which can be used in the decision-making multicriterion problems [Vector-Valued Optimization Problems in Control Theory (Academic Press, New York, 1979)] taking into account the metrics of the space of partial criteria are considered. Any phenomenon is described by some system of characteristic parameters, which values are presented by the coordinates of points in the space of states of the given phenomenon. A notion of the "ideal" state determined by optimal values of each characteristic parameter separately and inde

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38

Park, Juneyoung, and Mohamed A. Abdel-Aty. "Alternative Approach for Combining Multiple Crash Modification Factors Using Adjustment Function and Analytic Hierarchy Process." Transportation Research Record: Journal of the Transportation Research Board 2636, no. 1 (January 2017): 15–22. http://dx.doi.org/10.3141/2636-03.

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The safety effects of multiple treatments have recently emerged as an important issue of validation for the Highway Safety Manual procedures to improve performance of the predictive process. To estimate the combined safety effects of multiple crash modification factors (CMFs) more reliably, several combining approaches have been suggested. However, several critical issues still exist for the combining methods, such as overestimation, region-specific method, and a nonscientific approach. Therefore, this study suggests a novel adjustment method to combine multiple CMFs and to enhance the reliabi

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39

Hendriks, Margriet M. W. B., Jan H. de Boer, Age K. Smilde, and Durk A. Doornbos. "Multicriteria decision making." Chemometrics and Intelligent Laboratory Systems 16, no. 3 (December 1992): 175–91. http://dx.doi.org/10.1016/0169-7439(92)80036-4.

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40

Hao, Qinxia, Shah Nazir, Xiaoxu Gao, Li Ma, and Muhammad Ilyas. "A Review on Multicriteria Decision Support System and Industrial Internet of Things for Source Code Transformation." Scientific Programming 2021 (January 13, 2021): 1–9. http://dx.doi.org/10.1155/2021/6661272.

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The large scale increase of communication and number of devices in the Industrial Internet of Things (IIoT) has rapidly enabled practitioners to make decisions based on multicriteria. Multicriteria decision support systems (MCDSSs) play an important role in decision-making for a particular situation based on several criteria. Making of decision based on multicriteria is the main issues for research community and practitioners of the IIoT. Several decision support systems (DSSs) are offered for making decisions which have the potentiality to support the activities of the decision-making process

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41

Limayem, Moez, and Gerardine DeSanctis. "Providing Decisional Guidance for Multicriteria Decision Making in Groups." Information Systems Research 11, no. 4 (December 2000): 386–401. http://dx.doi.org/10.1287/isre.11.4.386.11874.

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42

Yager, R. R. "Modeling Prioritized Multicriteria Decision Making." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 34, no. 6 (December 2004): 2396–404. http://dx.doi.org/10.1109/tsmcb.2004.837348.

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43

Hum Tchemra, Angela. "Adaptivity in Multicriteria Decision Making." IEEE Latin America Transactions 9, no. 2 (April 2011): 160–70. http://dx.doi.org/10.1109/tla.2011.5765569.

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44

Novikova, Natalia M., and Irina I. Pospelova. "Multicriteria decision making under uncertainty." Mathematical Programming 92, no. 3 (May 1, 2002): 537–54. http://dx.doi.org/10.1007/s101070100289.

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45

Kottemann, Jeffrey E., and Fred D. Davis. "Decisional Conflict and User Acceptance of Multicriteria Decision-Making Aids." Decision Sciences 22, no. 4 (September 1991): 918–26. http://dx.doi.org/10.1111/j.1540-5915.1991.tb00371.x.

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46

Gogodze, Joseph. "Ranking Methods for Multicriteria Decision-Making: Application to Benchmarking of Solvers and Problems." Scientific Programming 2021 (July 11, 2021): 1–14. http://dx.doi.org/10.1155/2021/5513860.

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Evaluating the performance assessments of solvers (e.g., for computation programs), known as the solver benchmarking problem, has become a topic of intense study, and various approaches have been discussed in the literature. Such a variety of approaches exist because a benchmark problem is essentially a multicriteria problem. In particular, the appropriate multicriteria decision-making problem can correspond naturally to each benchmark problem and vice versa. In this study, to solve the solver benchmarking problem, we apply the ranking-theory method recently proposed for solving multicriteria

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47

Durmus, Hasan, and Mehmet Nuri İnel. "Comparing Aras and Copras Methods to Evaluate Firms By Using Fundamental Analysis." International Journal of Social, Political and Economic Research 7, no. 2 (June 2, 2020): 214–30. http://dx.doi.org/10.46291/ijospervol7iss2pp214-230.

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Decision making process is a though process not only for the management decisions but also for daily decisions. Multicriteria decision making methods were developed to make this process easier. There are many multicriteria decision making methods used in many areas at the present. In this study two of these methods were used, namely ARAS (Additive Ratio Assessment) and COPRAS (Complex Proportional Assessment), for fundamental analysis in investment decisions. Aim of this study is to implement and compare methods on fundamental analysis of firms to make an investment decision. In the study fina

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48

Liang, Liang, Ren Yan Jiang, and Yin Liang. "A Multicriteria Decision Method with Uncertain Information in Financial Credit Loan Decision-Making." Applied Mechanics and Materials 52-54 (March 2011): 1868–72. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.1868.

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It is difficult to obtain the correct criteria weights with uncertain information in the multicriteria decision-making. Many methods depend on the subjective estimate. Therefore, a method is presented to evaluate the samples ranking only need the importance order of criteria. It evaluates firstly the overall ranking scores of samples based on the graphical classification and multicriteria hierarchical integrated methods. Subsequently, the relation model between the criteria scores and overall ranking scores of samples is built by linear regression. Finally, a fincial credit loan decision-makin

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49

Gurbuz, Feyza. "Strategy development with SWOT analysis on manufacturing companies in rapid growth: A ceramic industry application." New Trends and Issues Proceedings on Humanities and Social Sciences 4, no. 10 (January 12, 2018): 01–12. http://dx.doi.org/10.18844/prosoc.v4i10.3083.

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Decision-making is important for organisations, since the consequences of given decisions are identified among the major risk factors for organisations’ future. This study aims to prove the importance of using combined decision-making methods for a successful decision-making for managers. In a ceramics company, multi-criteria decision-making processes were applied for taking quick action for future strategies. SWOT analysis was used for determining potential strategies. After then, multicriteria decision-making methods were used to determine the importance of each potential strategy. Keywords:

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50

Mitkus, Sigitas, and Eva Trinkūnienė. "MODELS OF INDICATOR SYSTEMS OF CONSTRUCTION CONTRACTION AGREEMENTS." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 12, no. 4 (December 31, 2006): 327–35. http://dx.doi.org/10.3846/13923730.2006.9636410.

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A number of multicriteria decisions must be made during construction investment processes. A number of support systems for multicriteria tasks of construction investment processes are available. A part of them is reviewed in this article. Effectiveness of the construction investment process is greatly influenced by an appropriate formulation of a construction contraction agreement (CCA). In order to formulate the effective contraction agreements, multicriteria techniques for evaluating and comparing CCAs must be created. Besides technical, organisational and economic aspects of construction, l

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