Results 1 to 10 of about 1,553 (170)

Multicriteria Personnel Selection by the Modified Fuzzy VIKOR Method [PDF]

open access: yesThe Scientific World Journal, 2015
Personnel evaluation is an important process in human resource management. The multicriteria nature and the presence of both qualitative and quantitative factors make it considerably more complex.
Rasim M. Alguliyev   +2 more
doaj   +5 more sources

An example on the use and limitations of MCDA: The case of fuzzy VIKOR

open access: yesExamples and Counterexamples, 2021
VIKOR is one of the well known Multiple Criteria Decision Aid methods, used frequently and considered to produce robust results. However, it seems that it is not immune to the rank reversal phenomenon.
Jason Papathanasiou
exaly   +5 more sources

Performance Evaluation of Construction Companies Using Integrated Entropy–Fuzzy VIKOR Model [PDF]

open access: yesEntropy, 2021
The construction sector plays an important role in a country’s economic development. The financial performance of a company is a good indicator of its financial health and status.
Weng Siew Lam   +3 more
doaj   +2 more sources

An integrated VIKOR–AHP method for green energy systems based on q-fractional hesitant fuzzy multi-criteria decision-making [PDF]

open access: yesScientific Reports
The q-fractional hesitant fuzzy sets (q-FHFSs) extend the conventional hesitant and intuitionistic fuzzy sets by providing a richer framework for representing uncertainty.
Hariwan Fadhil M.Salih   +3 more
doaj   +2 more sources

Effective multi-attribute group decision-making approach to study astronomy in the probabilistic linguistic q-rung orthopair fuzzy VIKOR framework [PDF]

open access: yesHeliyon
This study employs a novel fuzzy logic-based framework to address multi-attribute group decision-making problems commonly encountered in modern astronomy.
Sumera Naz   +5 more
doaj   +2 more sources

AI-Driven decision-making for personalized elderly care: a fuzzy MCDM-based framework for enhancing treatment recommendations [PDF]

open access: yesBMC Medical Informatics and Decision Making
Background Global healthcare systems face enormous challenges due to the ageing population, demanding novel measures to assure long-term efficacy and viability.
Abeer Aljohani
doaj   +2 more sources

Single Valued Neutrosophic VIKOR and Its Application to Wastewater Treatment Selection [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
The fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) has been used in solving various multi-criteria decision-making problems where triangular fuzzy numbers are utilized in defining decision-makers’ linguistic judgements.
Nor Liyana Amalini Mohd Kamal   +3 more
doaj   +1 more source

Ranking of Suitable Areas for Establishing Industries in Kashan City Using VIKOR and TOPSIS Methods in Fuzzy Environment [PDF]

open access: yesJournal of Advances in Environmental Health Research, 2022
Background: In this research, among the Multi Criteria Decision Making (MCDM) methods, a combination of VIKOR and TOPSIS methods with fuzzy set theory was used to overcome the uncertainty in the ranking of alternatives.
Katayoun Omidi   +3 more
doaj   +1 more source

Novel Linear Diophantine Fuzzy Information Measures Based Decision Making Approach Using Extended VIKOR Method

open access: yesIEEE Access, 2023
One of the purposes of fuzzy set theory is to overcome the uncertainties in the problems of multi-criteria decision-making (MCDM) via membership functions. But the fuzzy set theory has own limitations. To remove the limitations on membership functions of
Ali Aydogdu
doaj   +1 more source

A comparative analysis of VIKOR method and its variants [PDF]

open access: yesDecision Science Letters, 2016
The VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje which means multi-criteria optimization and compromise solution, in Serbian) method has already become a quite popular multi-criteria decision making tool for its computational simplicity and
Prasenjit Chatterjee   +1 more
doaj   +1 more source

Home - About - Disclaimer - Privacy