Relevant bibliographies by topics / Multiple criteria

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Multiple criteria'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Multiple criteria"

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Šubrt, T. "Multiple criteria network models for project management." Agricultural Economics (Zemědělská ekonomika) 50, No. 2 (February 24, 2012): 71–76. http://dx.doi.org/10.17221/5169-agricecon.

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The aim of the paper is to present one possibility of how to model and solve a resource oriented critical path problem. As a starting point, a single criteria model for critical path finding is shortly mentioned. Lately, more criteria functions for this model are defined. If any project task uses more resources for its completion, its duration usually depends on only one of them – other resources are not fully used. In here defined multiple criteria approach, these dependencies are not assumed. Each criteria function is derived from a theoretical task duration based on a number of units of only one resource and on its importance. Using either linear programming model with aggregated criteria function or simple Excel calculation with Microsoft Project software support, a so-called compromise critical path can be found. On this path, some resources are overallocated and some are underallocated but the total sum of all underallocations and all overallocations is minimized. All resources are used as effectively as possible and the project is as short as possible too.
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Nuthall, P. L. "MULTIPLE CRITERIA ANALYSIS." Agricultural Economics 5, no. 2 (June 1991): 174–78. http://dx.doi.org/10.1111/j.1574-0862.1991.tb00147.x.

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Deming, Stanley N. "Multiple-criteria optimization." Journal of Chromatography A 550 (January 1991): 15–25. http://dx.doi.org/10.1016/s0021-9673(01)88527-7.

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Hipel, K. W., K. J. Radford, and L. Fang. "Multiple participant-multiple criteria decision making." IEEE Transactions on Systems, Man, and Cybernetics 23, no. 4 (1993): 1184–89. http://dx.doi.org/10.1109/21.247900.

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Tsoukias, Alexis, P. Korhonen, A. Lewandowski, and J. Wallenius. "Multiple Criteria Decision Support." Journal of the Operational Research Society 43, no. 9 (September 1992): 922. http://dx.doi.org/10.2307/2583296.

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Cutter, Gary R., and Marcus W. Koch. "Multiple Sclerosis Diagnostic Criteria." Neurology 98, no. 1 (October 29, 2021): 12–13. http://dx.doi.org/10.1212/wnl.0000000000013014.

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Mullen, Penelope M., P. Bogetoft, and P. Pruzan. "Planning with Multiple Criteria." Journal of the Operational Research Society 44, no. 7 (July 1993): 736. http://dx.doi.org/10.2307/2584052.

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Huizingh, K. R. E., and H. C. J. Vrolijk. "Multiple Criteria Decision Making." Maandblad Voor Accountancy en Bedrijfseconomie 67, no. 12 (December 1, 1993): 635–46. http://dx.doi.org/10.5117/mab.67.13669.

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Flores, Benito E., and D. Clay Whybark. "Multiple Criteria ABC Analysis." International Journal of Operations & Production Management 6, no. 3 (March 1986): 38–46. http://dx.doi.org/10.1108/eb054765.

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NAKDIMEN, KENNETH A. "Multiple Personality Diagnostic Criteria." American Journal of Psychiatry 147, no. 11 (November 1990): 1580. http://dx.doi.org/10.1176/ajp.147.11.1580.

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Dissertations / Theses on the topic "Multiple criteria"

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Caglar, Musa. "Multiple Criteria Project Selection Problems." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610945/index.pdf.

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In this study, we propose two biobjective mathematical models based on PROMETHEE V method for project selection problems. We develop an interactive approach (ib-PROMETHEE V) including data mining techniques to solve the first proposed mathematical model. For the second model, we propose NSGA-II with constraint handling method. We also develop a Preference Based Interactive Multiobjective Genetic Algorithm (IMGA) to solve the second proposed mathematical model. We test the performance of NSGA-II with constraint handling method and IMGA on randomly generated test problems.
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Raboun, Oussama. "Multiple Criteria Spatial Risk Rating." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLED066.

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La thèse est motivée par une étude de cas intéressante liée à l’évaluation du risque nucléaire. Le cas d’étude consiste à évaluer l’impact d’un accident nucléaire survenu dans le milieu marin. Ce problème comporte des caractéristiques spatiales, différents enjeux économiques et environnementaux, des connaissances incomplètes sur les potentiels acteurs et un nombre élevé de scénarios d’accident possibles. Le cas d’étude a été résolu en utilisant différentes techniques d’analyse décisionnelle telles que la comparaison des loteries et les outils MCDA (Multiple Criteria Decision Analysis).Une nouvelle méthode de classification ordinale, nommée Dynamic-R, est née de cette thèse, visant à fournir une notation complète et convaincante. La méthode développée a fourni des résultats intéressants au cas d’étude et des propriétés théoriques très intéressantes qui sont présenté dans les chapitres 6 et 7 de ce manuscrit
The thesis is motivated by an interesting case study related to environmental risk assessment. The case study problem consists on assessing the impact of a nuclear accident taking place in the marine environment. This problem is characterized by spatial characteristics, different assets characterizing the spatial area, incomplete knowledge about the possible stakeholders, and a high number of possible accident scenarios. A first solution of the case study problem was proposed where different decision analysis techniques were used such as lotteries comparison, and MCDA (Multiple Criteria Decision Analysis) tools. A new MCDA rating method, named Dynamic-R, was born from this thesis, aiming at providing a complete and convincing rating. The developed method provided interesting results to the case study, and very interesting theoretical properties that will be presented in chapters 6 and 7 of this manuscript
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Tajima, May. "Modelling multiple criteria-multiple participant problems, the integrative approach." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0009/NQ30653.pdf.

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Castro, Carlos. "Multiple criteria optimization in injection molding." Connect to this title online, 2004. http://hdl.handle.net/1811/322.

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Thesis (Honors)--Ohio State University, 2004.
Title from first page of PDF file. Document formattted into pages: contains vi, 49 p.; also includes graphics. Includes bibliographical references (p. 46). Available online via Ohio State University's Knowledge Bank.
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Singh, Vijay K. "Equitable efficiency in multiple criteria optimization." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1181669435/.

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Sobrie, Olivier. "Learning preferences with multiple-criteria models." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLC057/document.

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L’aide multicritère à la décision (AMCD) vise à faciliter et améliorer la qualité du processus de prise de décision. Les méthodes d’AMCD permettent de traiter les problèmes de choix, rangement et classification. Ces méthodes impliquent généralement la construction d’un modèle. Déterminer les valeurs des paramètres de ces modèles n’est pas aisé. Les méthodes d’apprentissage indirectes permettent de simplifier cette tâche en apprenant les paramètres du modèle de décision à partir de jugements émis par un décideur tels que “l’alternative a est préférée à l’alternative b” ou “l’alternative a doit être classifiée dans la meilleure catégorie”. Les informations données par le décideur sont généralement parcimonieuses. Le modèle d’AMCD est appris au cours d’un processus interactif entre le décideur et l’analyste. L’analyste aide le décideur à formuler et revoir ses jugements si nécessaire. Le processus s’arrête une fois qu’un modèle satisfaisant les préférences du décideur a été trouvé. Le “preference learning” (PL) est un sous domaine du “machine learning” qui s’intéresse à l’apprentissage des préférences. Les algorithmes de ce domaine sont capables de traiter de grands jeux de données et sont validés au moyen de jeux de données artificiels et réels. Les jeux de données traités en PL sont généralement collectés de différentes sources et sont entachés de bruit.Contrairement à l’AMCD, il existe peu ou pas d’interaction avec l’utilisateur en PL. Le jeu de données fourni en entrée à l’algorithme est considéré comme un échantillon éventuellement bruité d’une “réalité” ou “vérité de terrain”. Les algorithmes utilisés dans ce domaine ont des propriétés statistiques fortes leur permettant de s’affranchir du bruit dans ces jeux de données. Dans cette thèse, nous développons des algorithmes d’apprentissage permettant d’apprendre lesparamètres de modèles d’AMCD. Plus précisément, nous développons une métaheuristique afin d’apprendre les paramètres d’un modèle appelé MR-Sort (“majority rule sorting”). Cette métaheuristique est testée sur des jeux de donnéesartificiels et réels utilisés dans le domaine du PL. Nous utilisons cet algorithme afin de traiter un problème concret dans le domaine médical. Ensuite nous modifions la métaheuristique afin d’apprendre les paramètres d’un modèle plus expressif appelé NCS (“non-compensatory sorting”). Finalement, nous développons un nouveau type de règle de veto pour les modèles MR-Sort et NCS qui permet de prendre les coalitions de critères en compte. La dernière partie de la thèse introduit les méthodes d’optimisation semi-définie positive (SDP) dans le contexte de l’aide multicritère à la décision. Précisément, nous utilisons l’optimisation SDP afin d’apprendre les paramètres d’un modèle de fonction de valeur additive
Multiple-criteria decision analysis (MCDA) aims at providing support in order to make a decision. MCDA methods allow to handle choice, ranking and sorting problems. These methods usually involve the elicitation of models. Eliciting the parameters of these models is not trivial. Indirect elicitation methods simplify this task by learning the parameters of the decision model from preference statements issued by the decision maker (DM) such as “alternative a is preferred to alternative b” or “alternative a should be classified in the best category”. The information provided by the decision maker are usually parsimonious. The MCDA model is learned through an interactive process between the DM and the decision analyst. The analyst helps the DM to modify and revise his/her statements if needed. The process ends once a model satisfying the preferences of the DM is found. Preference learning (PL) is a subfield of machine learning which focuses on the elicitation of preferences. Algorithms in this subfield are able to deal with large data sets and are validated withartificial and real data sets. Data sets used in PL are usually collected from different sources and aresubject to noise. Unlike in MCDA, there is little or no interaction with the user in PL. The input data set is considered as a noisy sample of a “ground truth”. Algorithms used in this field have strong statistical properties that allow them to filter noise in the data sets.In this thesis, we develop learning algorithms to infer the parameters of MCDA models. Precisely, we develop a metaheuristic designed for learning the parameters of a MCDA sorting model called majority rule sorting (MR-Sort) model. This metaheuristic is assessed with artificial and real data sets issued from the PL field. We use the algorithm to deal with a real application in the medical domain. Then we modify the metaheuristic to learn the parameters of a more expressive model called the non-compensatory sorting (NCS) model. After that, we develop a new type of veto rule for MR-Sort and NCS models which allows to take criteria coalitions into account. The last part of the thesis introduces semidefinite programming (SDP) in the context of multiple-criteria decision analysis. We use SDP to learn the parameters of an additive value function model
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Dailey, Patrick A. (Patrick August). "An Empirical Investigation of Criterion Development and the Multiple Criteria Versus Composite Criterion Debate." Thesis, University of North Texas, 1990. https://digital.library.unt.edu/ark:/67531/metadc935594/.

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The purpose of this study was to empirically examine two empirically examine two main areas of concern in selecting criteria for validation studies: the development of the criterion and the multiple criteria versus composite criterion debate. Evidence was found for the ability of the various weighting schemes used to generate composites that were statistically and conceptually different from one another. Knowledge of the nature of each composite, along with the multiple criteria approach, proved essential to understanding the composite criterion to the validation process. Selection and treatment of the criterion apparently consist of judgment and individual estimations.
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Soylu, Banu. "An Evolutionary Algorithm For Multiple Criteria Problems." Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12608134/index.pdf.

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In this thesis, we develop an evolutionary algorithm for approximating the Pareto frontier of multi-objective continuous and combinatorial optimization problems. The algorithm tries to evolve the population of solutions towards the Pareto frontier and distribute it over the frontier in order to maintain a well-spread representation. The fitness score of each solution is computed with a Tchebycheff distance function and non-dominating sorting approach. Each solution chooses its own favorable weights according to the Tchebycheff distance function. Some seed solutions at initial population and a crowding measure also help to achieve satisfactory results. In order to test the performance of our evolutionary algorithm, we use some continuous and combinatorial problems. The continuous test problems taken from the literature have special difficulties that an evolutionary algorithm has to deal with. Experimental results of our algorithm on these problems are provided. One of the combinatorial problems we address is the multi-objective knapsack problem. We carry out experiments on test data for this problem given in the literature. We work on two bi-criteria p-hub location problems and propose an evolutionary algorithm to approximate the Pareto frontiers of these problems. We test the performance of our algorithm on Turkish Postal System (PTT) data set (TPDS), AP (Australian Post) and CAB (US Civil Aeronautics Board) data sets. The main contribution of this thesis is in the field of developing a multi-objective evolutionary algorithm and applying it to a number of multi-objective continuous and combinatorial optimization problems.
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Pissarides, Savvas. "Interactive multiple criteria optimization for capital budgeting." Thesis, University of Ottawa (Canada), 1992. http://hdl.handle.net/10393/7723.

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This thesis presents a capital budgeting problem faced by a major telecommunications company. The purpose of this thesis is to address the capital budgeting problem in order to establish a framework for the measurement and evaluation of alternative capital allocation decisions which are compatible with the mission of the company. The solution method follows three major avenues of optimization: multiple criteria, multiple constraints and interactivity. The problem is solved using the Analytic Hierarchy Process to obtain an initial solution which is then improved by an interactive method allowing users to direct the search for an acceptable allocation. The method is implemented by a decision support system hinging on a graphic user interface. The support system has been used by practitioners to evaluate alternatives of a real problem. Results and enhancements are discussed.
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Qi, Bao-Min. "Multiple criteria decision support for design optimisation." Thesis, University of Bath, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393855.

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Books on the topic "Multiple criteria"

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Topcu, Y. Ilker, Özay Özaydın, Özgür Kabak, and Şule Önsel Ekici, eds. Multiple Criteria Decision Making. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-52406-7.

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Kulkarni, Anand J., ed. Multiple Criteria Decision Making. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7414-3.

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Fandel, Günter, and Tomas Gal, eds. Multiple Criteria Decision Making. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59132-7.

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Goicoechea, Ambrose, Stanley Zionts, and L. Duckstein, eds. Multiple Criteria Decision Making. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6.

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Papathanasiou, Jason, and Nikolaos Ploskas. Multiple Criteria Decision Aid. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91648-4.

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Yu, Po-Lung. Multiple-Criteria Decision Making. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-8395-6.

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Tzeng, G. H., H. F. Wang, U. P. Wen, and P. L. Yu, eds. Multiple Criteria Decision Making. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2666-6.

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Greco, Salvatore, Matthias Ehrgott, and José Rui Figueira, eds. Multiple Criteria Decision Analysis. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3094-4.

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Belton, Valerie, and Theodor J. Stewart. Multiple Criteria Decision Analysis. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1495-4.

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Zopounidis, Constantin, and Michael Doumpos, eds. Multiple Criteria Decision Making. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-39292-9.

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Book chapters on the topic "Multiple criteria"

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Fanciulli, Alessandra, and Gregor K. Wenning. "Clinical Diagnostic Criteria." In Multiple System Atrophy, 121–32. Vienna: Springer Vienna, 2013. http://dx.doi.org/10.1007/978-3-7091-0687-7_7.

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Shih, Hsu-Shih. "Multiple Criteria Modeling." In Studies in Systems, Decision and Control, 1–16. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09577-1_1.

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Kyle, Robert A., and S. Vincent Rajkumar. "Criteria for Diagnosis and Response." In Multiple Myeloma, 1–15. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8520-9_1.

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Belton, Valerie, and Theodor J. Stewart. "The Multiple Criteria Problem." In Multiple Criteria Decision Analysis, 13–33. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1495-4_2.

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Köksalan, Suna Kondakci, Meral Azizoğlu, and Murat Köksalan. "Scheduling with Multiple Criteria." In Multiple Criteria Decision Making, 361–68. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2666-6_37.

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Milo, Ron, and Ariel Miller. "Multiple Sclerosis." In Diagnostic Criteria in Autoimmune Diseases, 401–6. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-60327-285-8_73.

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Goicoechea, Ambrose, Eugene Z. Stakhiv, and Fu Li. "A Framework for Qualitative Experimental Evaluation of Multiple Criteria Decision Support Systems (MCDSS)." In Multiple Criteria Decision Making, 1–17. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6_1.

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Forman, Ernest H. "Facts and Fictions About the Analytic Hierarchy Process." In Multiple Criteria Decision Making, 123–33. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6_10.

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Jablonský, Josef. "Decision Support System for Management of Patient Nutrition: An Interactive AHP/Goal Programming Approach." In Multiple Criteria Decision Making, 135–48. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6_11.

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Kersten, Gregory E., Wojtek Michalowski, and Stan Szpakowicz. "Sequential Decision Making and Restructurable Modelling." In Multiple Criteria Decision Making, 149–58. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6_12.

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Conference papers on the topic "Multiple criteria"

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Lee, Kwang-kyu, and Martin Buss. "Redundancy Resolution With Multiple Criteria." In 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2006. http://dx.doi.org/10.1109/iros.2006.282538.

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Sobrinho, João Luís, and Miguel Alves Ferreira. "Routing on Multiple Optimality Criteria." In SIGCOMM '20: Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3387514.3405864.

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Kang, He-Yau, Amy H. I. Lee, and Chun-Yu Lin. "A multiple-criteria supplier evaluation model." In 2010 International Symposium on Computer, Communication, Control and Automation (3CA). IEEE, 2010. http://dx.doi.org/10.1109/3ca.2010.5533664.

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de Oliveira, Gabriel L., Eduardo Peixoto, and Ricardo L. de Queiroz. "Motion estimation with multiple matching criteria." In 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2017. http://dx.doi.org/10.1109/mmsp.2017.8122215.

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Philipps, Lothar. "Just decisions using multiple criteria or." In the fifth international conference. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/222092.222237.

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Kamiyama, Noriaki. "Network Topology Design with Multiple Criteria." In Networks 2006. 12th International Telecommunications Network Strategy and Planning Symposium. IEEE, 2006. http://dx.doi.org/10.1109/netwks.2006.300406.

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Aadnoy, Bernt Sigve, Eirik Kaarstad, and Mesfin Belayneh. "Casing Depth Selection Using Multiple Criteria." In IADC/SPE Drilling Conference and Exhibition. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/150931-ms.

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Morkūnaitė, Žydrūnė, and Valentinas Podvezko. "Criteria Evaluation for Contractor Selection in Cultural Heritage Projects Using Multiple Criteria Approach." In Sustainable Decisions in Built Environment. VGTU Technika, 2019. http://dx.doi.org/10.3846/colloquium.2019.001.

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The low bid is the most common applicable method in the contractor selection process, considering by only one dominant criterion. However, the lowest price criterion not allows selecting qualified, responsible, sophisticated, and knowledgeable contractor for cultural heritage projects. Moreover, the improper contractor selection may induce claims, litigation, and poor quality work, increased costs for project performance or management. Selection of appropriate contractor is very important for the success and excellent accomplishment of cultural heritage projects. This study presents criteria evaluation for contractor selection in cultural heritage projects. This paper provides reviews of contractor selection and proposed criteria evaluation, and determines the criteria of culture heritage contractor selection. This study applies the multiple criteria approach: AHP, PROMETHEE and EDAS approaches.
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Barrett, Leon, and Srini Narayanan. "Learning all optimal policies with multiple criteria." In the 25th international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1390156.1390162.

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Wu, Guangyu, Derek Greene, and Pádraig Cunningham. "Merging multiple criteria to identify suspicious reviews." In the fourth ACM conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1864708.1864757.

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Reports on the topic "Multiple criteria"

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Fogg, Dennis C. Assisting Design Given Multiple Performance Criteria. Fort Belvoir, VA: Defense Technical Information Center, August 1988. http://dx.doi.org/10.21236/ada200982.

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Green, J. R. ,. Westinghouse Hanford. Radiological risk evaluation for risk-based design criteria of the multiple canister overpack packaging. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/657357.

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Wu, Xin. The efficacy and safety of anti-CD20 antibody treatments in relapsing multiple sclerosis: a systematic review and network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2022. http://dx.doi.org/10.37766/inplasy2022.6.0075.

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Review question / Objective: The objectives of this systematic review were to evaluate the efficacy and safety of the three existing anti-CD20 antibodies for the treatment of relapsing multiple sclerosis and to aid clinicians in choosing medications. Eligibility criteria: We set the inclusion criteria as follows: (1) study type: RCT; (2) language restriction: only available in English; (3) participants: patients ≥18 years of age diagnosed with relapsing MS, whether with a relapsing–remitting course or a secondary progressive course; (4) intervention: anti-CD20 antibody treatments including ocrelizumab, ofatumumab, rituximab, and corresponding control including placebo and active treatments; (5) outcomes: clinical outcomes including annualized rate of relapse (ARR), the number of patients free of relapse, and the number of patients with confirmed disease progression (CDP); magnetic resonance imaging(MRI) outcomes including gadolinium-enhancing lesion change in T1, change in the volume of lesions on T2, the number of patients with no new or newly enlarged lesions in T2 and the brain volume change (BVC); safety outcomes including adverse events (AEs) and serious adverse events (SAEs). Included RCTs were not requested to supply all the outcomes mentioned above. We set the exclusion criteria as follows: (1) study type: retrospective studies, cohort studies, case reviews and case reports; (2) patients diagnosed with primary progressive MS.
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Lynch, Lori L., Francke E. Walberg, and Robert G. Dimmitt. Multiple-Purpose Project, Little Blue River Basin, Little Blue River, Missouri: Longview Lake Operation and Maintenance Manual. Appendix 5. Embankment Criteria and Performance Report. Fort Belvoir, VA: Defense Technical Information Center, November 1990. http://dx.doi.org/10.21236/ada241911.

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5

Sitabkhan, Yasmin, and Linda M. Platas. Early Mathematics Counts: Promising Instructional Strategies from Low- and Middle-Income Countries. RTI Press, July 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0055.1807.

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This occasional paper examines common instructional strategies in early-grade mathematics interventions through a review of studies in classrooms in low- and middle-income countries. Twenty-four studies met the criteria for inclusion, and analyses reveal four sets of instructional strategies for which there is evidence from multiple contexts. Of the 24 studies, 16 involved the use of multiple representations, 10 involved the use of developmental progressions, 6 included supporting student use of explanation and justification, and 5 included integration of informal mathematics. Based on the review, we provide conclusions and recommendations for future research and policy.
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Zhang, Linlin, Xiaoming Xi, Xihua Liu, Xinjie Qu, Qing Wang, Haihao Cao, Limin Wang, et al. Should aerobic and resistance training interventions for Multiple sclerosis be performed on the same day: A protocol for systematic review and network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2021. http://dx.doi.org/10.37766/inplasy2021.12.0126.

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Review question / Objective: P (Population) : patients diagnosed with multiple sclerosis; I (Intervention) : aerobic training and resistance training; C (Comparison) : the efficacy and safety were compared on the same day and different days; O (Outcome) : Evaluates dysfunction, quality of life, fatigue, aerobic capacity or muscle function, mood, cognition, and safety. S (Study Design) : Systematic review and Network meta-analysis. Eligibility criteria: Measures in the intervention group: aerobic training (taijiquan, Baduanjin, qigong, yoga, swimming, cycling, jogging, brisk walking, etc.) and resistance training were used simultaneously, including studies conducted on the same day and on different days. There are no restrictions on training time, frequency and intensity.Control group measures: no intervention or conventional treatment.
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Schuck-Zöller, Susanne, Sebastian Bathiany, Markus Dressel, Juliane El Zohbi, Elke Keup-Thiel, Diana Rechid, and Suhari Mirko. Developing criteria of successful processes in co-creative research. A formative evaluation scheme for climate services. Fteval - Austrian Platform for Research and Technology Policy Evaluation, April 2022. http://dx.doi.org/10.22163/fteval.2022.541.

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Climate change and its socio-ecological impacts affect all sectors of society. To tackle the multiple risks of climate change the field of climate services evolved during the last decades. In this scientific field products to be applied in practice are developed in constant interaction between climate service providers and users. To judge the effectiveness of these co-creation endeavours, evaluation is crucial. At present, output and outcome assessments are conducted occasionally in this research field. However, the summative evaluation does not help to adjust the ongoing process of co-creation. Thus, our work focuses on the formative evaluation of co-creative development of science-based climate service products. As the first step, main characteristics of the product development process were identified empirically. Secondly, we determined the six sub- processes of climate service product development and related process steps. Thirdly, we selected the questions for the formative evaluation relevant to all the sub-processes and process-steps. Then, a literature review delivered the theoretical background for further work and revealed further quality aspects. These aspects from literature were brought together with our results from the empirical work. In the end, we created a new scheme of quality criteria and related assessment questions for the different sub-processes in climate services, based on both, empirical and theoretical work. As the authors take into account the process of co-production in a real-life case, the criteria and assessment questions proposed are operational and hands-on. The quality aspects refer to the five principles of applicability, theoretical and empirical foundation, professionalism, transparency of processes and the disclosure of preconditions. They are elaborated comprehensively in our study. The resulting formative evalu- ation scheme is novel in climate service science and practice and useful in improving the co-creation processes in climate services and beyond.
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Yang, Hui, Xi-Xi Wan, Hui Ma, Zhen LI, Li Weng, Ying Xia, and Xiao-Ming Zhang. Prevalence and mortality risk of low skeletal muscle mass in critically ill patients: an updated systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0132.

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Review question / Objective: The PICOS principle was adopted when we confirmed the study eligibility. The inclusion criteria were as follows: (1) patients were critically ill, which was defined as adult patients who were from the ICU department; (2) exposure: patients had a clear definition of LSMM based on CT scans, anthropometric methods and ultrasound; (3) presented the prevalence of LSMM or could be calculated by the available data from the article; and (4) study design: observational study (cohort study or cross-sectional study). Articles that were reviews, case reports, comments, correspondences, letters or only abstracts were excluded. Condition being studied: Critical illness often results in low skeletal muscle mass for multiple reasons. Multiple studies have explored the association between low skeletal muscle mass and mortality. The prevalence of low skeletal muscle mass and its association with mortality are unclear. This systematic review and meta-analysis aim to identify the prevalence and mortality risk of low skeletal muscle mass among critically ill patients.
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Kürşat Önder, Yasin, Maria Alejandra Ruiz-Sanchez, Sara Restrepo-Tamayo, and Mauricio Villamizar-Villegas. Government Borrowing and Crowding Out. Banco de la República, December 2021. http://dx.doi.org/10.32468/be.1182.

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We investigate the impact of fiscal expansions on firm investment by exploiting firms that have multiple banking relationships. Further, we conduct a localized RDD approach and compare the lending behavior of banks that barely met and missed the criteria of being a primary dealer, as well as barely winners and losers at government auctions. Our results indicate that a 1 percentage point increase in banks’ bonds-to-assets ratio decreases loans by up to 0.4%, which leads to significant declines in firm investment, profits and wages. Our findings are grounded in a quantitative model with financial and real sectors with which we undertake a welfare analysis and compute the cost of government borrowing on the overall economy.
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Sandeep, Bhushan, Huang Xin, and Xiao Zongwei. A comparison of regional anesthesia techniques in patients undergoing of video-assisted thoracic surgery: A network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2022. http://dx.doi.org/10.37766/inplasy2022.2.0003.

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Review question / Objective: Although video-assisted thoracoscopic surgery is a minimally invasive surgical technique, the pain remains moderate to severe. We comprehensively compared the regional anesthesia methods for postoperative analgesia in patients undergoing video-assisted thoracoscopic surgery. Eligibility criteria: All published full-article RCTs comparing the analgesic efficacy of investigated regional anesthesia technique or comparative blocks in adult patients undergoing any VATS were eligible for inclusion. There were no language restrictions. Moreover, we also excluded case reports, non-RCT studies, incomplete clinical trials, and any trials used multiple nerve blocks. We also excluded any conference abstracts which could not offer enough information about the study design, or by data request to the author.
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