Fuzzy algorithm for group decision making with participants having finite discriminating abilities
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
An approach to group decision-making with uncertain preference ordinals
Computers and Industrial Engineering
Power-geometric operators and their use in group decision making
IEEE Transactions on Fuzzy Systems
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
An integrated model-based interactive approach to FMAGDM with incomplete preference information
Fuzzy Optimization and Decision Making
Fuzzy multiple criteria hierarchical group decision-making based on interval type-2 fuzzy sets
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on model-based diagnostics
A web based consensus support system for group decision making problems and incomplete preferences
Information Sciences: an International Journal
An approach to solve group-decision-making problems with ordinal interval numbers
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An extended TOPSIS for determining weights of decision makers with interval numbers
Knowledge-Based Systems
A mobile decision support system for dynamic group decision-making problems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Modelling group decision making problems in changeable conditions
MDAI'10 Proceedings of the 7th international conference on Modeling decisions for artificial intelligence
On group decision making with four formats of incomplete preference relations
Computers and Industrial Engineering
Consolidating SWOT analysis with nonhomogeneous uncertain preference information
Knowledge-Based Systems
Information Sciences: an International Journal
Distance-based consensus models for fuzzy and multiplicative preference relations
Information Sciences: an International Journal
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Multiperson decision making (MPDM) problems with different formats of preference information are one of the emerging research areas in decision analysis. Existing approaches for dealing with different preference formats tend to be unwieldy. This paper proposes a new method to solve the problem, in which the preference information on alternatives provided by experts can be represented in four different formats, namely: 1) utility values; 2) preference orderings; 3) multiplicative preference relations; and 4) fuzzy preference relations. An optimization model is constructed to integrate the four formats of preference and to assess ranking values of alternatives. The model is shown to be theoretically sound and complete via a series of theorems, and then a corresponding algorithm is developed. A numerical example is given to illustrate the procedure. The proposed approach is more efficient and simpler than existing approaches because it does not need to unify different formats of preferences or to aggregate individual preferences into a collective one. Therefore, it overcomes a major shortcoming of existing approaches that lose or distort the original preference information in the process of unifying the formats