A soft computing method of performance evaluation with MCDM based on interval-valued fuzzy numbers

MS Kuo, GS Liang - Applied Soft Computing, 2012 - Elsevier
This study presented a new performance evaluation method for tackling fuzzy multicriteria
decision-making (MCDM) problems based on combining VIKOR and interval-valued fuzzy …

Incomplete interval fuzzy preference relations for supplier selection in supply chain management

Y Xu, R Patnayakuni, F Tao, H Wang - … and Economic Development …, 2015 - Taylor & Francis
In the analytical hierarchy process (AHP), it needs the decision maker to establish a pairwise
comparison matrix requires n (n–1)/2 judgments for a level with n criteria (or alternatives). In …

Interval-valued fuzzy TOPSIS method with leniency reduction and an experimental analysis

TY Chen - Applied Soft Computing, 2011 - Elsevier
The purpose of this paper is to present a new TOPSIS (the technique for order preference by
similarity to ideal solution) for estimating the importance of criteria and reducing the leniency …

[PDF][PDF] MCDM based on reciprocal judgment matrix: a comparative study of E-VIKOR and E-TOPSIS algorithmic methods with interval numbers

Y Dou, P Zhang, J Jiang, K Yang… - Applied Mathematics & …, 2014 - naturalspublishing.com
Interval number is a useful tool to handle the uncertainty brought by human factors in multi-
criteria decision-making (MCDM) process. When faced with MCDM problems in real-world …

Multi-criteria decision-making method with leniency reduction based on interval-valued fuzzy sets

TY Chen - Journal of the Chinese Institute of Industrial Engineers, 2011 - Taylor & Francis
The purpose of this article is to present a useful method for estimating the importance of
criteria and reducing the leniency bias in multi-criteria decision analysis based on interval …

[HTML][HTML] Multiple criteria group decision-making with generalized interval-valued fuzzy numbers based on signed distances and incomplete weights

TY Chen - Applied Mathematical Modelling, 2012 - Elsevier
Decision-making information provided by decision makers is often imprecise or uncertain,
due to lack of data, time pressure, or the decision makers' limited attention and information …

New score and accuracy function for IVIF sets and their applications to AHP for MCGDM

M Kokoç, S Ersöz - Cybernetics and Systems, 2022 - Taylor & Francis
Multi-criteria group decision making (MCGDM) is an important part of decision science and
widely applied in several fields. To cope with the vagueness and ambiguity of the human …

Likelihoods of interval type-2 trapezoidal fuzzy preference relations and their application to multiple criteria decision analysis

TY Chen - Information Sciences, 2015 - Elsevier
Interval type-2 fuzzy sets are useful and valuable for depicting uncertainty and managing
imprecision in decision information. In particular, interval type-2 trapezoidal fuzzy numbers …

Multiple criteria decision analysis using a likelihood-based outranking method based on interval-valued intuitionistic fuzzy sets

TY Chen - Information Sciences, 2014 - Elsevier
The purpose of this paper is to develop a likelihood-based outranking method for handling
multiple criteria decision analysis problems based on interval-valued intuitionistic fuzzy sets …

Multiple attribute decision making using Beta distribution of intervals, expected values of intervals, and new score function of interval-valued intuitionistic fuzzy values

SM Chen, WT Liao - Information Sciences, 2021 - Elsevier
In this paper, we propose a new multiple attribute decision making (MADM) method using
the Beta distribution of intervals, the expected values of intervals, and the proposed new …