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Journal of Intelligent & Fuzzy Systems - Volume 26, issue 6

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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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Model for multiple attribute decision making based on the Einstein correlated information fusion with hesitant fuzzy information

Authors: Zhao, Xiaofei | Li, Qingxiang | Wei, Guiwu

Article Type: Research Article

Abstract: We investigate the multiple attribute decision making (MADM) problems in which attribute values take the form of hesitant fuzzy information. Firstly, some operational laws of hesitant fuzzy elements and score function of hesitant fuzzy elements are introduced. In this paper, we utilize Einstein operations to develop some hesitant fuzzy correlated aggregation operators: hesitant fuzzy Einstein correlated averaging (HFECA) operator and hesitant fuzzy Einstein correlated geometric (HFECG) operator. The prominent characteristic of the operators is that they can not only consider the importance of the elements or their ordered positions, but also reflect the correlation among the elements or their ordered … Show more

Keywords: Multiple attribute decision making (MADM), hesitant fuzzy elements, operational laws, hesitant fuzzy Einstein correlated averaging (HFECA) operator, hesitant fuzzy Einstein correlated geometric (HFECG) operator

DOI: 10.3233/IFS-130971

Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 6, pp. 3057-3064, 2014

Price: EUR 27.50

Intuitionistic fuzzy heavy aggregating operators and their application to strategic decision making problems

Authors: Zhao, Xiaofei | Lin, Rui | Zhang, Yi

Article Type: Research Article

Abstract: Intuitionistic fuzzy numbers are very suitable to be used for depicting uncertain or fuzzy information. Motivated by the ideal of heavy aggregation operator, in this paper, we develop some heavy aggregation operators for aggregating intuitionistic fuzzy information, and then apply them to develop some models for decision making problems. Moreover, we shall extend these aggregation operators and decision making approaches to interval-valued intuitionistic fuzzy environments, in which the input data take the form of interval-valued intuitionistic fuzzy numbers. Finally, we give an illustrative example for strategic decision making problems to verify the developed approach and to demonstrate its feasibility and … Show more

Keywords: Decision making, intuitionistic fuzzy numbers, interval-valued intuitionistic fuzzy numbers, heavy aggregation operators, intuitionistic fuzzy heavy aggregation operators, strategic decision making

DOI: 10.3233/IFS-130972

Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 6, pp. 3065-3074, 2014

Price: EUR 27.50

Author Index Volume 26 (2014)

Article Type: Other

Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 6, pp. 3075-3088, 2014

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