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Consensus in Multiple Attribute Decision Making
2015We present two multiple attribute consensus rules with minimum adjustments: the distance-based consensus rule and the count-based consensus rule. The distance-based consensus rule is to minimize the distance between the original opinions and adjusted opinions, and the count-based consensus rule seeks to minimize the number of adjusted preference values.
Yucheng Dong, Jiuping Xu
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Methods for Multiple Attribute Decision Making
1981There are some classical decision rules such as dominance, maximin and maximum which are still fit for the MADM environment. They do not require the DM’s preference information, and accordingly yield the objective (vs. subjective) solution. However, the right selection of these methods for the right situation is important. (See Table 1.3 for references)
Ching-Lai Hwang, Kwangsun Yoon
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PROJECTION MODELS FOR INTUITIONISTIC FUZZY MULTIPLE ATTRIBUTE DECISION MAKING
International Journal of Information Technology & Decision Making, 2010The aim of this paper is to investigate the intuitionistic fuzzy multiple attribute decision-making problems where the attribute values are expressed in intuitionistic fuzzy numbers or interval-valued intuitionistic fuzzy numbers. We introduce some notions, such as intuitionistic fuzzy ideal point, interval-valued intuitionistic fuzzy ideal point, the
Zeshui Xu, Hui Hu
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MULTIPLE ATTRIBUTE DECISION MAKING WITH MULTIPLE FORMATS OF ATTRIBUTE ASPIRATIONS: A METHOD BASED ON PROSPECT THEORY [PDF]
In this paper, a method based on prospect theory is proposed to solve the multiple attribute decision making (MADM) problem with three formats of attribute aspirations. According to the idea of prospect theory, reference points concerning attributes are first determined. Then, for the three formats of attribute aspirations, the calculation formulae of
ZHI-PING FAN +3 more
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An evidential reasoning approach for multiple-attribute decision making with uncertainty
IEEE Transactions on Systems, Man, and Cybernetics, 1994A new evidential reasoning based approach is proposed that may be used to deal with uncertain decision knowledge in multiple-attribute decision making (MADM) problems with both quantitative and qualitative attributes. This approach is based on an evaluation analysis model and the evidence combination rule of the Dempster-Shafer theory.
Jian-Bo Yang, Madan G. Singh
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Multiple Attribute Decision Making Based on Neutrosophic Preference Relation
Cognitive Computation, 2021The single-valued neutrosophic set (SVNS) performs well in retrieving indeterminate cognitive information for decision makers to solve problems from the perspective of multiple attribute decision making (MADM). Preference relation is used in decision-making as a fundamental tool for decision makers to express their preference. In this context, the SVNS-
Wen Jiang 0002 +2 more
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An Approach to Hybrid Multiple Attribute Decision Making
2009 International Conference on Information Management, Innovation Management and Industrial Engineering, 2009This paper focuses on the multiple attribute decision making problems with the attribute values being numeric, interval and linguistic evaluations. The decision matrix is normalized by calculating the grey relation coefficients of the interval and linguistic attribute values to their corresponding positive ideal ones.
Quan Zhang, HongJun Sun, LiXin Kong
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MODELS FOR MULTIPLE ATTRIBUTE DECISION MAKING WITH INTUITIONISTIC FUZZY INFORMATION
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2007The intuitionistic fuzzy set (IFS) characterized by a membership function and a non-membership function, was introduced by Atanassov [K. Atanassov, "Intuitionistic fuzzy sets", Fuzzy Sets and Systems 20 (1986) 87–96] as a generalization of Zadeh' fuzzy set [L. A.
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An interactive method for fuzzy multiple attribute group decision making
Information Sciences, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zeshui Xu, Jian Chen 0016
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RELATIVE RATIO METHOD FOR MULTIPLE ATTRIBUTE DECISION MAKING PROBLEMS
International Journal of Information Technology & Decision Making, 2009The multiple attribute decision making (MADM) is an important research field in decision science and operations research. Recently, several commonly used methods such as the TOPSIS and the VIKOR were proposed to solve the MADM problems. The TOPSIS and VIKOR are based on aggregating functions representing closeness to the ideal, which originated in the
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