Production and Manufacturing Research: An Open Access Journal, 2015 The purpose of this paper is to find out an efficient decision support method for non-traditional machine selection. It seeks to analyze potential non-traditional machine selection attributes with a relatively new MCDM approach of MOORA and MOOSRA method.
Asis Sarkar +3 more
doaj +3 more sources
Metode Multi-Objective Optimization on the Basis of Simple Ration Analysis Dalam Penentuan Penerima Beasiswa [PDF]
Jurnal Ilmiah Computer Science, 2023 Scholarships provide significant benefits by opening the door to access education that previously might have been difficult to reach. The problem in this study arises from the conventional method used in the process of determining scholarship recipients.
Auliya Rahman Isnain
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Selection and Experimentation of the Best Hybrid Green Composite Using Advanced MCDM Methods for Clean Sustainable Energy Recovery: A Novel Approach [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 Relevant and appropriate selection of best hybrid material is a challenging task for the recent industries. The mandatory criterion is to deal with the enhanced productivity with minimum cost.
Soutrik Bose +2 more
doaj +1 more source
Labor Market Performance Analysis of OECD Countries
Sosyal Siyaset Konferansları Dergisi, 2021 This article analyzed the labor market performance of 28 Organization for Economic Co-operation and Development (OECD) countries in 2018. The indicators of labor market performance were the unemployment rate, long-term unemployment rate, youth ...
Süheyla Erikli, Serap Pelin Türkoğlu
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COMBINING DIFFERENT MCDM METHODS WITH THE COPELAND METHOD: AN INVESTIGATION ON MOTORCYCLE SELECTION
Journal of Process Management and New Technologies, 2021 There are many different multi-criteria decision making methods in the literature. These methods, which enable criteria with different measurement units to be examined together, allow choosing between alternatives.
Aşkın ÖZDAĞOĞLU +3 more
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A comprehensive framework for solar panel technology selection: A BWM‐ MULTIMOOSRAL approach
Energy Science &Engineering, Volume 10, Issue 12, Page 4595-4625, December 2022., 2022 In this paper, the main goal is to select the best technology for solar panels by investigating nine technologies from the first, second, and third generations of solar panels. Moreover, five sustainable criteria of electrical, mechanical, economic, technical, and climate, and 20 subcriteria are given for making decision analysis.
Pegah Shayani Mehr +5 more
wiley +1 more source
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 The present paper aims to propose a new hybrid multi‐criteria decision‐making (MCDM) framework with spherical fuzzy numbers (SFNs). We extend two recently developed algorithms such as level‐based weight assessment (LBWA) and MULTIMOOSRAL in spherical fuzzy (SF) domain.
Sanjib Biswas +4 more
wiley +1 more source
Type-2 Neutrosophic Sets (T2NSs) for Quality Evaluation of Project-Based Art and Design Courses: Evaluation Seven Projects [PDF]
Neutrosophic Sets and SystemsConflicting objectives for alternatives must be valued in a decision-making process, and the optimal option must be chosen based on the decision-makers requirements. For this selection, multi-objective optimization techniques might offer a solution.
Ruijuan Zhang
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SuperHyperSoft Set-Based Evaluation of Teaching Quality in Ideological and Political Courses in Colleges and Universities in the New Era [PDF]
Neutrosophic Sets and SystemsIn the new era, the quality of ideological and political education in colleges and universities has become a vital focus for nurturing responsible, critically thinking citizens.
Ningning Wang, Zheng Zhao
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A Dual TreeSoft-HyperSoft Set-Based Framework for Assessing Employment Guidance Satisfaction in Vocational Colleges [PDF]
Neutrosophic Sets and SystemsIn response to the growing demand for high-quality career support in vocational colleges, this study introduces a dual-model framework designed to assess student satisfaction with employment guidance services.
Wei Liu, Xing Gao, Hongtao Fang
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