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Journal of Intelligent & Fuzzy Systems - Volume 38, issue 1

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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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Interval-valued neutrosophic hypothesis testing

Authors: Haktanır, Elif

Article Type: Research Article

Abstract:  Hypothesis testing is an important tool of statistical decision making. Classical hypothesis testing is based on a known probability distribution with known population parameters. However, since the data generally include vagueness and impreciseness, a fuzzy set approach should be used. In this paper, interval-valued neutrosophic sets (IVNSs) are used for the purpose of making statistical decisions. In the proposed neutrosophic hypothesis testing approach, neutrosophic linguistic data and neutrosophic parameters are used. Left-sided, right-sided and double-sided neutrosophic hypothesis tests are developed, illustrative example and sensitivity analysis are given.

Keywords: Interval-valued neutrosophic set, hypothesis testing, pythagorean fuzzy sets, hesitant fuzzy sets

DOI: 10.3233/JIFS-179472

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 1107-1117, 2020

Price: EUR 27.50

Analysis of companies’ digital maturity by hesitant fuzzy linguistic MCDM methods

Authors: Büyüközkan, Gülçin | Güler, Merve

Article Type: Research Article

Abstract: Digital Transformation (DT) is the journey of using digital technologies to develop new business models and strategies. DT aims to achieve competitive advantage and to realize activities that will create efficiency in the corporate value chain. Digital Maturity Model (DMM) provides a practical approach to DT. There is a need for an analytical tool to analyze the significance of the factors in the DMM and to rank the companies according to their digital maturity. It is a multi-criteria decision-making (MCDM) problem with multiple factors under vagueness and impreciseness. Hesitant fuzzy linguistic term sets (HFLTS) is a technique used to facilitate … Show more

Keywords: Digital maturity, hesitant fuzzy linguistic term sets, multi criteria decision making, AHP, ARAS

DOI: 10.3233/JIFS-179473

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 1119-1132, 2020

Price: EUR 27.50
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