Some linguistic power aggregating operators and their application to multiple attribute group decision making

Authors:
Guiwu Wei
Affiliations:
School of Economics and Management, Chongqing University of Arts and Sciences, Yongchuan, China
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Year:
2013

Citing 24
Cited 0

On ordered weighted averaging aggregation operators in multicriteria decisionmaking

IEEE Transactions on Systems, Man and Cybernetics
The problem of linguistic approximation in clinical decision making

International Journal of Approximate Reasoning
Fuzzy sets and decision analysis

Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
A fusion approach for managing multi-granularity linguistic term sets in decision making

Fuzzy Sets and Systems
Linguistic decision analysis: steps for solving decision problems under linguistic information

Fuzzy Sets and Systems - Special issue on soft decision analysis
Generalized OWA Aggregation Operators

Fuzzy Optimization and Decision Making
A model for selecting an ERP system based on linguistic information processing

Information Systems
Maximizing deviation method for multiple attribute decision making in intuitionistic fuzzy setting

Knowledge-Based Systems
Evaluating knowledge management capability of organizations: a fuzzy linguistic method

Expert Systems with Applications: An International Journal
Toward developing agility evaluation of mass customization systems using 2-tuple linguistic computing

Expert Systems with Applications: An International Journal
The induced generalized OWA operator

Information Sciences: an International Journal
Fuzzy group decision-making for multi-format and multi-granularity linguistic judgments in quality function deployment

Expert Systems with Applications: An International Journal
Evaluating new product development performance by fuzzy linguistic computing

Expert Systems with Applications: An International Journal
Some induced geometric aggregation operators with intuitionistic fuzzy information and their application to group decision making

Applied Soft Computing
A method for group decision-making based on multi-granularity uncertain linguistic information

Expert Systems with Applications: An International Journal
GRA method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting

Knowledge-Based Systems
Power-geometric operators and their use in group decision making

IEEE Transactions on Fuzzy Systems
A method for multiple attribute group decision making based on the ET-WG and ET-OWG operators with 2-tuple linguistic information

Expert Systems with Applications: An International Journal
Extension of TOPSIS method for 2-tuple linguistic multiple attribute group decision making with incomplete weight information

Knowledge and Information Systems
FIOWHM operator and its application to multiple attribute group decision making

Expert Systems with Applications: An International Journal
Some generalized aggregating operators with linguistic information and their application to multiple attribute group decision making

Computers and Industrial Engineering
The power average operator

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A Consensus Support System Model for Group Decision-Making Problems With Multigranular Linguistic Preference Relations

IEEE Transactions on Fuzzy Systems
A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets

IEEE Transactions on Fuzzy Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

We investigate the multiple attribute group decision making MAGDM problems in which the attribute values take the form of linguistic variables. Motivated by the ideal of power aggregation R.R. Yager, The power average operator, IEEE Transactions on Systems, Man, and Cybernetics Part A 31 2001 724--731, in this paper, we develop some power aggregation operators for aggregating 2-tuple linguistic information, and then apply them to develop some models for multiple attribute group decision making with linguistic information. Finally, some illustrative examples are given to verify the developed approach and to demonstrate its practicality and effectiveness.