A comparative analysis for multi-attribute decision making methods: TOPSIS, AHP, VIKOR using intuitionistic fuzzy sets

Dammak, Fatma; Baccour, Leila; Alimi, Adel M.

doi:10.1109/fuzz-ieee.2015.7338059

Cited by 14 publications

(8 citation statements)

References 20 publications

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“…The choice should only be based on experimentation. In future work, the proposed measures will be implemented on other data sets and other research topics [7,17,18] to assess their results.…”

Section: Resultsmentioning

confidence: 99%

Intuitionistic Fuzzy Similarity Measures and Their Role in Classification

Baccour

Alimi

John³

2016

Journal of Intelligent Systems

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We present some similarity and distance measures between intuitionistic fuzzy sets (IFSs). Thus, we propose two semi-metric distance measures between IFSs. The measures are applied to classification of shapes and handwritten Arabic sentences described with intuitionistic fuzzy information. The experimental results permitted to do a comparative analysis between intuitionistic fuzzy similarity and distance measures, which can facilitate the selection of such measure in similar applications.

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Section: Resultsmentioning

confidence: 99%

Intuitionistic Fuzzy Similarity Measures and Their Role in Classification

Baccour

Alimi

John³

2016

Journal of Intelligent Systems

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“…w i denotes the weight of the criteria i. Finally, VIKOR provides a third ranking which is a compromise between the two previous ranking (Dammak, Baccour, & Alimi, 2015). Compromise means an agreement established by mutual concessions (Opricovic & Tzeng, 2004).…”

Section: Vikor Methodsmentioning

confidence: 99%

An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study

2019

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With important advancements achieved in information technology, wide varieties of advanced planning and scheduling (APS) software has emerged in recent decades. Each of those APS software uses their own techniques, algorithms and logic to plan and schedule operations, which makes the task of evaluating them very difficult. However, choosing the right APS software is critical for companies because of significant resources engaged and risk of disturbing operations. Presently, a clear, structured and rational approach is lacking in the literature for APS software selection. The main contribution of this paper is to fill this gap by developing an APS software selection methodology. The methodology is based on fuzzy quality function deployment (QFD) and two well-known multiple criteria decision-making (MCDM) techniques, analytic hierarchy process (AHP) and VIKOR. This work considers both company needs and APS selection criteria to build a hybrid

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“…Bausys and Zavadskas [42] solved a problem of selecting the location for a logistic terminal in a way where they tied the VIKOR method with interval-valued neutrosophic sets, namely VIKOR-IVNS. Dammak et al [43] compared three methods based on intuitionistic fuzzy set respectively to TOPSIS, AHP (Analytical Hierarchy Process), and VIKOR, and analyzed the differences in the use of the three methods. Liao and Xu [44] constructed the cosine-distance-based HFL-TOPSIS model and the cosine-distance-based HFL-VIKOR model.…”

Section: Introductionmentioning

confidence: 99%

Pythagorean 2-Tuple Linguistic VIKOR Method for Evaluating Human Factors in Construction Project Management

Wei

et al. 2019

Mathematics

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Since the reform and opening up, Chinese economic and social development has undergone great changes, and the people’s living standards have improved markedly. For the national economy, the engineering construction is not only a carrier for specific economic tasks, but also a driving force for rapid and sustained economic development. With the continuous expansion of the scale of construction projects, safety management problems of construction projects are constantly exposed. How to effectively avoid accidents has become an important issue to be solved urgently in the construction industry. This paper mainly evaluates human factors in the process of construction project management, such as workers’ proficiency, workers’ safety awareness, technical workers’ quality, and workers’ emergency capacity, with the purpose of helping China’s construction projects proceed smoothly. In this research, we provide a multiple attribute group decision-making (MAGDM) technique based on Pythagorean 2-tuple linguistic numbers (P2TLNs) and the VIseKriterijumska Optimizacija I KOmpromisno Resenje (VIKOR) method for evaluating the human factors of construction projects. P2TLNs are used to represent the performance assessments of decision makers. Relying on a P2TLWA operator, P2TLWG operator, and the essential VIKOR method, a general framework is established. An application is presented to test the validity of the new method, and a comparative analysis with two algorithms and the P2TL-TODIM method is illustrated with detail.

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A comparative analysis for multi-attribute decision making methods: TOPSIS, AHP, VIKOR using intuitionistic fuzzy sets

Cited by 14 publications

References 20 publications

Intuitionistic Fuzzy Similarity Measures and Their Role in Classification

Intuitionistic Fuzzy Similarity Measures and Their Role in Classification

An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study

Pythagorean 2-Tuple Linguistic VIKOR Method for Evaluating Human Factors in Construction Project Management

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