A method based on induced aggregation operators and distance measures to multiple attribute decision making under 2-tuple linguistic environment
TLDR
A new multiple attribute decision making approach for dealing with 2-Tuple linguistic information, called the 2-tuple linguistic induced generalized ordered weighted averaging distance (2LIGOWAD) operator, is developed and an application is presented to a group decision making problem about selection of strategies.About:
This article is published in Journal of Computer and System Sciences.The article was published on 2014-11-01 and is currently open access. It has received 33 citations till now. The article focuses on the topics: Ordered weighted averaging aggregation operator & Distance measures.read more
Citations
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A Hybrid Method for Pythagorean Fuzzy Multiple-Criteria Decision Making
TL;DR: A new method for Pythagorean fuzzy multiple-criteria decision-making (MCDM) problems with aggregation operators and distance measures with the main advantage that it uses distance measures in a unified framework between the ordered weighted averaging (OWA) operator and weighted average (WA) that considers the degree of importance of each concept in the aggregation.
Journal ArticleDOI
Decision Making Methods Based on Fuzzy Aggregation Operators: Three Decades Review from 1986 to 2017
Abbas Mardani,Mehrbakhsh Nilashi,Mehrbakhsh Nilashi,Edmundas Kazimieras Zavadskas,Siti Rahmah Awang,Habib Zare,Noriza Mohd Jamal +6 more
TL;DR: A review of 312 published articles appearing in 33 popular journals related to fuzzy set theory, aggregation operator theory and DM approaches between July 1986 and June 2017 has been attained to reach a comprehensive review of DM methods and aggregation operator environment.
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A consensus reaching model for 2-tuple linguistic multiple attribute group decision making with incomplete weight information
TL;DR: A weight-updating model is employed to derive the weights of experts based on their contribution to the consensus reaching process and the final group preference can be obtained which will give the ranking of the alternatives.
Journal ArticleDOI
A new method for multiple criteria group decision making with incomplete weight information under linguistic environment
TL;DR: To get reasonable decision result, instead of assigning the same weight to the decision maker for all criteria, a method to determine the weight of DM with respect to each criterion under linguistic environment is proposed by calculating the similarity degree between individual 2-tuple linguistic evaluation value and the mean given by all decision makers.
Journal ArticleDOI
Some q‐rung orthopair fuzzy 2‐tuple linguistic Muirhead mean aggregation operators and their applications to multiple‐attribute group decision making
TL;DR: An approach for solving MAGDM problem with q‐rung orthopair fuzzy 2‐tuple linguistic information is developed and a numerical example for selecting desirable emergency alternative(s) in the process of designing emergency preplan is given to illustrate the application of the developed method and demonstrate its effectiveness.
References
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Journal ArticleDOI
The concept of a linguistic variable and its application to approximate reasoning—II☆
TL;DR: Much of what constitutes the core of scientific knowledge may be regarded as a reservoir of concepts and techniques which can be drawn upon to construct mathematical models of various types of systems and thereby yield quantitative information concerning their behavior.
Journal ArticleDOI
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
TL;DR: A type of operator for aggregation called an ordered weighted aggregation (OWA) operator is introduced and its performance is found to be between those obtained using the AND operator and the OR operator.
Journal ArticleDOI
A 2-tuple fuzzy linguistic representation model for computing with words
Francisco Herrera,Luis Martínez +1 more
TL;DR: This paper develops a computational technique for computing with words without any loss of information in the 2-tuple linguistic model and extends different classical aggregation operators to deal with this model.
Book
Aggregation Functions: A Guide for Practitioners
TL;DR: A broad introduction into the topic of aggregation functions, and provides a concise account of the properties and the main classes of such functions, including classical means, medians, ordered weighted averaging functions, Choquet and Sugeno integrals, triangular norms, conorms and copulas, uninorms, nullnorms, and symmetric sums.