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The classification-based consensus in multi-attribute group decision-making
Journal of the Operational Research Society, 2019In multi-attribute group decision-making problem (MAGDM), the existing consensus reaching process (CRP) is to obtain a consensus ranking of alternatives.
Xin Chen 0067 +3 more
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A new way of handling multi-attribute group decision making problems
Journal of Intelligent & Fuzzy Systems, 2020A novel idea of linguistic interval-valued intuitionistic neutrosophic fuzzy numbers (LIVINFNs) and operational laws of the numbers are introduced in this paper. LIVINF TOPSIS method is developed and application of the developed TOPSIS method to a multi-attribute group decision making (MAGDM) problem in a LIVINF environment is discussed.
Aliya Fahmi +2 more
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A simulation based multi-attribute group decision making technique with decision constraints
Applied Soft Computing, 2016Graphical abstractDisplay Omitted HighlightsMonte-Carlo simulation and TOPSIS based multi-attribute group decision making technique.Integration of decision constraints.Aggregation of crisp value decision maker preferences into triangular numbers.Distance matrices are used within TOPSIS calculations.
Hüsamettin Bayram, Ramazan Sahin
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A quantum framework for modelling subjectivity in multi-attribute group decision making
Computers & Industrial Engineering, 2018Abstract Due to the increasing complexity of decision tasks, the experiences, knowledge or opinions from multiple decision makers (DMs) often need to be aggregated. Many multi-attribute group decision making (MAGDM) approaches have been widely studied. In a MAGDM problem, the multiple DMs are usually regarded as independent.
Zichang He +2 more
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A Hybrid Fuzzy-Intelligent System for Group Multi-Attribute Decision Making
International Journal of Fuzzy Systems, 2016This paper aims to solve a multi-attribute decision making (MADM) problem under a group decision making and fuzzy environment. To do so, firstly a consensus model is proposed to increase consensus level within experts. Secondly, as the main contribution of this paper, it proposes a hybrid approach which employs both fuzzy rule-based system and ...
Amin Mahmoudi +2 more
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Research on Multi-attribute and Group Decision-making Method with Unknown Weight
Proceedings of the 4th International Conference on Computer Science and Application Engineering, 2020Different attributes and weights of decision-makers are the key information of multi-attribute and group decision making. Aiming at the complete unknown problem of attribute and decision-maker's weight information, this paper proposed a weight calculation method based on triangular intuitionistic fuzzy number, which established a consensus model with ...
Yang Xie, Gongliang Li, Qingfei Cai
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The Mixed Multi-attribute Group Decision Making Method with Preference Information
Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing, 2017The aim of this study was to solve the problems of mixed multiattribute group decision, which have the interval-valued, linguistic and interval-valued intuitionistic fuzzy number. As a solution to this problem, we propose a decision-making method that the decision maker weight was unknown, however, the attribute weight was known as well as the score ...
Xiaofei Bian, Haiwei Pan
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An interactive procedure for multi-attribute group decision making with incomplete information
Computers & Operations Research, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kim, SH Kim, Soung Hie +1 more
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Evidential model for intuitionistic fuzzy multi-attribute group decision making
Soft Computing, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qiang Fu 0020 +4 more
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Probabilistic linguistic term sets in multi-attribute group decision making
Information Sciences, 2016When expressing preferences in qualitative setting, several possible linguistic terms with different weights (represented by probabilities) may be considered at the same time. The probabilistic distribution is usually hard to be provided completely and ignorance may exist.
Qi Pang, Hai Wang 0005, Zeshui Xu
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