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Journal of Intelligent & Fuzzy Systems - Volume 37, issue 4

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Price: EUR 315.00
ISSN 1064-1246 (P)
ISSN 1875-8967 (E)

Impact Factor 2024: 1.7

The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.

The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.

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Using credibility theory to evaluate the fuzzy two-stage DEA: Sensitivity and stability analysis

Authors: Nosrat, Azizollah | Sanei, Masoud | Payan, Ali | Hosseinzadeh Lotfi, Farhad | Razavyan, Shabnam

Article Type: Research Article

Abstract: In this paper, crisp two-stage data envelopment analysis (TSDEA) models are expanded for decision-making problems where inputs, intermediate data, and outputs are expressed with fuzzy numbers. Considering the merits of credibility theory, we propose the use of this theory in the efficiency measurement of fuzzy serially-connected two-stage systems. For determined credibility levels, we transform the fuzzy model into a linear programming problem and then obtain the credibility function and membership function for fuzzy efficiency of two-stage decision-making units (DMUs). We also explore the sensitivity and stability analysis of two-stage DMUs based on the proposed methodology. As a result, the projection … Show more

Keywords: Two-stage data envelopment analysis, fuzzy input- intermediate -output data, credibility measure, sensitivity and stability analysis

DOI: 10.3233/JIFS-181519

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5777-5796, 2019

Price: EUR 27.50
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