Results 91 to 100 of about 413,342 (222)

On the similarity relation within fuzzy ontology components [PDF]

open access: yes, 2005
Ontology reuse is an important research issue. Ontology merging, integration, mapping, alignment and versioning are some of its subprocesses. A considerable research work has been conducted on them.
Bejaoui, Lotfi   +2 more
core  

Optimizing Enterprise Capital Structure Allocation Using the NSGA‐III Algorithm

open access: yesEngineering Reports, Volume 8, Issue 9, September 2026.
This work applies the NSGA‐III algorithm with nondominated sorting and reference‐point guidance to corporate capital‐structure optimization, tackling uneven Pareto‐front distribution and low convergence efficiency in high‐dimensional multiobjective optimization.
Bing Li
wiley   +1 more source

Pythagorean Fuzzy TOPSIS Method of Excessive Hesitation

open access: yesSymmetry
In 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

TOPSIS Method Based on Complex Spherical Fuzzy Sets with Bonferroni Mean Operators

open access: yes, 2020
The theory of complex spherical fuzzy sets (CSFSs) is a mixture of two theories, i.e., complex fuzzy sets (CFSs) and spherical fuzzy sets (SFSs), to cope with uncertain and unreliable information in realistic decision-making situations.
Tahir Mahmood   +2 more
core   +1 more source

Sensitivity Analysis of The AHP and TOPSIS Methods for The Selection of The Best Lecturer Base on The Academic Achievement [PDF]

open access: yes
In order to resolve cases related to an alternative selection problems (MADM problems), various methods have been applied. Many methods are used to solve the MADM problems, which sometimes give different results.
Sarwoko, Eko Adi   +2 more
core   +1 more source

Generalized Fuzzy TOPSIS to Solve Multi-Criteria Decision-Making Problems

open access: yesJournal 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  

A Novel Hybrid Fuzzy Grey TOPSIS Method: Supplier Evaluation of a Collaborative Manufacturing Enterprise

open access: yesApplied 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

Built‐to‐Suit Telecoms Contractor Selection Using an Interval Type‐3 Fuzzy Analytic Hierarchy Process

open access: yesEngineering Reports, Volume 8, Issue 9, September 2026.
Selecting build‐to‐suit telecom contractors is a high‐stakes decision shaped by vague expert judgments. This study develops an interval type‐3 fuzzy Analytic Hierarchy Process whose secondary credibility grade models uncertainty about the judgments themselves.
Leah‐Maria Ndokezi, Haryson Nyobuya
wiley   +1 more source

A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods

open access: yes, 2013
Multiple criteria decision-making (MCDM) research has developed rapidly and has become a main area of research for dealing with complex decision problems. The purpose of the paper is to explore the performance evaluation model.
Sun, Chia Chi
core   +1 more source

Type-2 Fuzzy ANP and TOPSIS methods based on trapezoid Fuzzy number with a new metric

open access: yesIJAIN (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

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