A linear assignment method for multiple-criteria decision analysis with interval type-2 fuzzy sets

Authors:
Ting-Yu Chen
Affiliations:
Graduate Institute of Business and Management, Department of Industrial and Business Management, College of Management, Chang Gung University, 259, Wen-Hwa 1st Road, Kwei-Shan, Taoyuan 333, Taiwan
Venue:
Applied Soft Computing
Year:
2013

Citing 21
Cited 1

The applications of interval-valued fuzzy numbers and interval-distribution numbers

Fuzzy Sets and Systems
Ranking fuzzy numbers based on decomposition principle and signed distance

Fuzzy Sets and Systems - Special issue on fuzzy numbers and uncertainty
Arithmetic operators in interval-valued fuzzy set theory

Information Sciences: an International Journal
Uncertainty measures for interval type-2 fuzzy sets

Information Sciences: an International Journal
Normalized distance, similarity measure, inclusion measure and entropy of interval-valued fuzzy sets and their relationship

Information Sciences: an International Journal
Fuzzy risk analysis based on measures of similarity between interval-valued fuzzy numbers

Computers & Mathematics with Applications
Fuzzy risk analysis based on interval-valued fuzzy numbers

Expert Systems with Applications: An International Journal
An integrated fuzzy approach for provider evaluation and selection in third-party logistics

Expert Systems with Applications: An International Journal
Fuzzy risk analysis based on similarity measures between interval-valued fuzzy numbers and interval-valued fuzzy number arithmetic operators

Expert Systems with Applications: An International Journal
A hybrid multi-criteria decision-making model for firms competence evaluation

Expert Systems with Applications: An International Journal
Development of an interval-valued fuzzy linear-programming method based on infinite α-cuts for water resources management

Environmental Modelling & Software
Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method

Expert Systems with Applications: An International Journal
Measure of similarity between interval-valued fuzzy numbers for fuzzy recommendation process based on quadratic-mean operator

Expert Systems with Applications: An International Journal
Multivariate modeling and type-2 fuzzy sets

Fuzzy Sets and Systems
Optimistic and pessimistic decision making with dissonance reduction using interval-valued fuzzy sets

Information Sciences: an International Journal
A group decision making procedure for fuzzy interactive linear assignment programming

Expert Systems with Applications: An International Journal
Extension of the ELECTRE method based on interval-valued fuzzy sets

Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on Digital Information Forensics
Fuzzy multiple attributes group decision-making based on ranking interval type-2 fuzzy sets

Expert Systems with Applications: An International Journal
Ranking of fuzzy numbers by sign distance

Information Sciences: an International Journal
Multi-attribute group decision making models under interval type-2 fuzzy environment

Knowledge-Based Systems
Type-2 fuzzy sets and systems: an overview

IEEE Computational Intelligence Magazine

An ELECTRE-based outranking method for multiple criteria group decision making using interval type-2 fuzzy sets

Information Sciences: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

The theory of interval type-2 fuzzy sets is valuable for modeling impressions in multiple-criteria decision analysis problems. Based on signed distances, we develop a new linear assignment method to produce an optimal preference ranking of the alternatives in accordance with a set of criterion-wise rankings and a set of criterion importance within the context of interval type-2 trapezoidal fuzzy numbers. Applying the proposed method to a case involving the selection of a landfill site, we demonstrate that the proposed method is easy to employ and that it produces actionable results that aid the decision-making process. The proposed interval type-2 fuzzy linear assignment method utilizes signed distances, does not require a complicated computation procedure and will be beneficial to decision analysis.