An OWA-TOPSIS method for multiple criteria decision analysis

Authors:
Ye Chen;Kevin W. Li;Si-Feng Liu
Affiliations:
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Najing, Jiangsu 210016, China;Odette School of Business, University of Windsor, Windsor, Ontario, Canada N9B 3P4;College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Najing, Jiangsu 210016, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 13
Cited 4

On ordered weighted averaging aggregation operators in multicriteria decisionmaking

IEEE Transactions on Systems, Man and Cybernetics
A new approach for multiple objective decision making

Computers and Operations Research
Extensions of the TOPSIS for group decision-making under fuzzy environment

Fuzzy Sets and Systems
An overview of methods for determining OWA weights: Research Articles

International Journal of Intelligent Systems
A minimax disparity approach for obtaining OWA operator weights

Information Sciences: an International Journal
Multiple criteria classification with an application in water resources planning

Computers and Operations Research
A case-based distance model for multiple criteria ABC analysis

Computers and Operations Research
A hybrid approach for multi-objective combinatorial optimisation problems in ship design and shipping

Computers and Operations Research
OWA-weighted based clustering method for classification problem

Expert Systems with Applications: An International Journal
Developing a fuzzy TOPSIS approach based on subjective weights and objective weights

Expert Systems with Applications: An International Journal
An interval arithmetic based fuzzy TOPSIS model

Expert Systems with Applications: An International Journal
An extension of TOPSIS for group decision making

Mathematical and Computer Modelling: An International Journal
Combining grey relation and TOPSIS concepts for selecting an expatriate host country

Mathematical and Computer Modelling: An International Journal

Review: A state-of the-art survey of TOPSIS applications

Expert Systems with Applications: An International Journal
Similarity classifier with ordered weighted averaging operators

Expert Systems with Applications: An International Journal
A heterogeneous multi-criteria multi-expert decision-support system for scoring combinations of flood mitigation and recovery options

Environmental Modelling & Software
A fuzzy multi-criteria decision-making model by associating technique for order preference by similarity to ideal solution with relative preference relation

Information Sciences: an International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

A hybrid approach integrating OWA (Ordered Weighted Averaging) aggregation into TOPSIS (technique for order performance by similarity to ideal solution) is proposed to tackle multiple criteria decision analysis (MCDA) problems. First, the setting of extreme points (ideal and anti-ideal points) in TOPSIS is redefined and extended for handling the multiple extreme points situation where a decision maker (DM) or multiple DMs can provide more than one pair of extreme points. Next, three different aggregation schemes are designed to integrate OWA into the TOPSIS analysis procedure. A numerical example is provided to demonstrate the proposed approach and the results are compared for different aggregation settings and confirm the robustness of rankings from different scenarios.