Applied Sciences, 2019 Recently, there is of significant interest in developing multi-criteria decision making (MCDM) techniques with large applications for real-life problems. Making a reasonable and accurate decision on MCDM problems can help develop enterprises better.
Yixiong Feng +7 more
doaj +1 more source
Generalized Fuzzy TOPSIS to Solve Multi-Criteria Decision-Making Problems
Journal of New Theory, 2020 Multiple Criteria Decision Making (MCDM) is a process in which we choose the best alternative from all feasible alternatives. In this paper, we study fuzzy sets with some basic concepts and fuzzy TOPSIS (technique for order preference by similarity to ...
Sohaib Abdal +6 more
doaj
Assessing competitiveness of foreign and local supermarket chains in Vietnamese market by using Fuzzy TOPSIS method [PDF]
Considering the strategic importance for supermarket chains and to understanding the critical elements affecting their competitiveness and their relative level of competitiveness, this study tries to assess competitiveness of foreign and local ...
Albert Jing-Fuh Yang +4 more
core
Generalised framework for multi-criteria method selection
, 2018 Multi-Criteria Decision Analysis (MCDA) methods are widely used in various fields and disciplines. While most of the research has been focused on the development and improvement of new MCDA methods, relatively limited attention has been paid to their ...
Jankowski, Jarosław +4 more
core +1 more source
Pythagorean Fuzzy TOPSIS Method of Excessive Hesitation
SymmetryIn cases where the comprehensive hesitation degree among experts in decision-making is excessively high, the calculation of the comprehensive evaluation index using the TOPSIS method may lead to asymmetric bias. To address this issue, a formula for the comprehensive evaluation index considering excessive hesitation is proposed, followed by the ...
Xiuli Du +3 more
openaire +1 more source
Type-2 Fuzzy ANP and TOPSIS methods based on trapezoid Fuzzy number with a new metric
IJAIN (International Journal of Advances in Intelligent Informatics)Modeling and linguistic representation in the form Interval Type-2 Fuzzy have better accuracy than Type-1 Fuzzy. The type-2 fuzzy set involves more uncertainty than the type-1 fuzzy set.
Yeni Kustiyahningsih +3 more
doaj +1 more source
Fuzzy rough bi-level multi-objective nonlinear programming problems
Alexandria Engineering Journal, 2019 Fuzzy rough bi-level multi-objective nonlinear programming problem (FRBMNPP) moved toward becoming rise normally in various real applications. In this article we develop bi-level multi-objective nonlinear programming problem (BMNPP), in which the ...
M.A. Elsisy, M.A. El Sayed
doaj +1 more source
A NEW APPROACH TOWARDS EVAULATION AND SELECT‹ON OF SALESPERSON CANDIDATES: FUZZYTOPSIS [PDF]
The aim of the study is to introduce Fuzzy TOPSIS method and to show how to benefit it for evaluation of salesperson candidates. Foundation of Fuzzy TOPSIS method which is one of Multiple Criteria Decision Making (MCDM) methods and to allow group ...
Fatih Ecer
core
A knowledge-based decision support system for roofing materials selection and cost estimating: a conceptual framework and data modelling [PDF]
, 2009 A plethora of materials is available to the modern day house designer but selecting the appropriate material is a complex task. It requires synthesising a multitude of performance criteria such as initial cost, maintenance cost, thermal performance and ...
Bi, Yaxin +3 more
core
Fuzzy TOPSIS framework for promoting win-win project procurement negotiations. [PDF]
Front Psychol, 2022 Yu CC, Luo JH.
europepmc +1 more source