A New Approach Using Dynamic Group Decision Making for Selection of Multiple Alternatives Under Risk and Uncertainty

2011 ◽  
Author(s):  
Hai V. Pham ◽  
Khang D. Tran ◽  
Thang Cao ◽  
Eric Cooper ◽  
Katsuari Kamei
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Risk And Uncertainty ◽  
New Approach ◽  
Dynamic Group ◽  
Selection Of

scholarly journals A New Approach for Assessing Credit Risks under Uncertainty

2020 ◽  
Author(s):  
Teimuraz Tsabadze
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Metric Space ◽  
Theoretical Basis ◽  
Fuzzy Numbers ◽  
Group Decision ◽  
Initial Part ◽  
New Approach ◽  
Trapezoidal Fuzzy Numbers ◽  
Credit Risks

The purpose of this chapter is to introduce a new approach for an assessment of the credit risks. The initial part of the chapter is to briefly discuss the existing models of assessment of the credit risks and justify the need for a new approach. Since a new approach is created for conditions of uncertainty, we cannot do without fuzzy mathematics. The proposed approach is based on group decision-making, where experts’ opinions are expressed by trapezoidal fuzzy numbers. The theoretical basis of the offered approach is laid out in the metric space of trapezoidal fuzzy numbers. The new approach is introduced and discussed, and two realization algorithms are given. The toy example of application of the introduced approach is offered as well.

A two-stage dynamic group decision making method for processing ordinal information

2014 ◽  
Vol 70 ◽  
pp. 189-202 ◽  
Author(s):  
Feng Zhang ◽  
Joshua Ignatius ◽  
Chee Peng Lim ◽  
Mark Goh
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Two Stage ◽  
Ordinal Information ◽  
Dynamic Group

scholarly journals Methods for Multiple Attribute Group Decision Making Based on Intuitionistic Fuzzy Dombi Hamy Mean Operators

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 574 ◽  
Author(s):  
Zengxian Li ◽  
Hui Gao ◽  
Guiwu Wei
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Fuzzy Numbers ◽  
Group Decision ◽  
Intuitionistic Fuzzy Numbers ◽  
Intuitionistic Fuzzy ◽  
Multiple Attribute ◽  
Selection Of

In this paper, we extended the Hamy mean (HM) operator, the Dombi Hamy mean (DHM) operator, the Dombi dual Hamy mean (DDHM), with the intuitionistic fuzzy numbers (IFNs) to propose the intuitionistic fuzzy Dombi Hamy mean (IFDHM) operator, intuitionistic fuzzy weighted Dombi Hamy mean (IFWDHM) operator, intuitionistic fuzzy Dombi dual Hamy mean (IFDDHM) operator, and intuitionistic fuzzy weighted Dombi dual Hamy mean (IFWDDHM) operator. Following this, the multiple attribute group decision-making (MAGDM) methods are proposed with these operators. To conclude, we utilized an applicable example for the selection of a car supplier to prove the proposed methods.

Integrated Fuzzy Analysis and Group Decision Making Method for Collaborative Product Development

2008 ◽  
Vol 44-46 ◽  
pp. 267-274
Author(s):  
Hao Bo Qiu ◽  
Chao Yong Zhang ◽  
Ping Jiang ◽  
Xin Yu Shao
Keyword(s):  
Decision Making ◽  
Product Development ◽  
Group Decision Making ◽  
Group Decision ◽  
Evaluation Process ◽  
Integrated Product Development ◽  
New Approach ◽  
Fuzzy Similarity ◽  
Hierarchy Process ◽  
Process Method

Group decision-making is one of the most important issues in product development. In order to tackle the vague and sometimes conflicting decision data, this paper presents a new approach based on fuzzy similarity and fuzzy compromise to deal with the fuzzy nature of group decisions. In the proposed method, a modified fuzzy Analytical Hierarchy Process method is used to get the criterion weights, a novel consensus aggregation algorithm is given to obtain the conflict-free results, and an improved compromise decision means is utilized to calculate the utilities of alternatives. Finally an integrated product development solution evaluation process is illustrated as a numerical example, and the corresponding software package is also developed.

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