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Multiple-Attribute Group Decision-Making Based on q-Rung Orthopair Fuzzy Power Maclaurin Symmetric Mean Operators

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020
To be able to describe more complex fuzzy uncertainty information effectively, the concept of ${q}$ -rung orthopair fuzzy sets ( ${q}$ -ROFSs) was first proposed by Yager.
Peide Liu, Shyi-Ming Chen, Peng Wang
semanticscholar   +1 more source

A Multi-Criteria Group Decision-Making Approach For Robot Selection Using Interval-Valued Intuitionistic Fuzzy Information And Aczel-Alsina Bonferroni Means

Spectrum of Decision Making and Applications
The process of identifying the most appropriate robot for a particular industrial task has grown challenging and more difficult in the fast-paced environment.
Raiha Imran   +3 more
semanticscholar   +1 more source

On a Rule for Group Decision-making

Medical Care, 1969
WHEN a number of medical authorities give independent judgments about a medical case, for example, in the case of Utilization Review by multiple reviewers, there arises the question of how to report the results when opinions conflict. Zimmer and Odoroff3 have addressed this problem by proposing a construct called the Physician Index (PI) of a record ...
openaire   +2 more sources

Group Decision Making

2013
This chapter will deal with situations involving several possibilities that can and should be ranked—for example parties at an election, singers at a singing competition or the variations given in the traffic routing in a city.
Hans-Joachim Bungartz   +3 more
openaire   +2 more sources

A Consensus Model for Large-Scale Linguistic Group Decision Making With a Feedback Recommendation Based on Clustered Personalized Individual Semantics and Opposing Consensus Groups

IEEE transactions on fuzzy systems, 2019
In linguistic large-scale group decision making (LSGDM), it is often necessary to achieve a consensus. Particularly, when computing with words and linguistic decision, we must keep in mind that words mean different things to different people.
Congcong Li, Yucheng Dong, F. Herrera
semanticscholar   +1 more source

Reaching a minimum adjustment consensus in social network group decision-making

Information Fusion, 2020
In this paper, we propose a minimum adjustment consensus framework for the social network group decision-making (SN-GDM) with incomplete linguistic preference relations (ILPRs). The extant studies ignore the influence of network structure on the decision-
Dong Cheng   +3 more
semanticscholar   +1 more source

Flexible Linguistic Expressions and Consensus Reaching With Accurate Constraints in Group Decision-Making

IEEE Transactions on Cybernetics, 2020
Various linguistic expressions have been presented to model the flexibility of linguistic preference expressions and to support the consensus reaching in linguistic group decision-making (GDM). In this paper, we propose the concept of flexible linguistic
Yuzhu Wu   +3 more
semanticscholar   +1 more source

Linguistic Interval-Valued Atanassov Intuitionistic Fuzzy Sets and Their Applications to Group Decision Making Problems

IEEE transactions on fuzzy systems, 2019
In this paper, we propose the concept of a linguistic interval-valued Atanassov intuitionistic fuzzy set (LIVAIFS), whose membership and nonmembership degrees are represented by the interval-valued linguistic terms, for better dealing with imprecise and ...
Harish Garg, Kamal Kumar
semanticscholar   +1 more source

Group decision making

The Business & Management Collection, 2011
This chapter introduces a multicriteria decision making method for measuring intangible criteria alongside tangible ones. It relies on the use of judgments when scales are unavailable, and because scales of measurement use arbitrary units uniformly over their entire range, judgment is often needed to determine the significance of reading on such a ...
openaire   +2 more sources

Deriving decision makers' weights in group decision making: An overview of objective methods

Information Fusion, 2019
In group decision making problems, it is almost impossible to have a homogeneous group of decision makers whose experiences, attitudes, knowledge are the same or similar.
Emrah Koksalmis, Ö. Kabak
semanticscholar   +1 more source

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