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Journal of Intelligent & Fuzzy Systems - Volume 31, 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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Modeling the fuzzy cold storage problem and its solution by a discrete firefly algorithm

Authors: Lu, Sichao | Wang, Xifu

Article Type: Research Article

Abstract: Maintaining an appropriate environmental condition plays a vital role in preventing food poisoning and food spoilage. Thus, how to allocate a large number of perishable food products with different intrinsic characteristics to a cold store with different cabins is quite important for decision makers. In this paper, we define a mathematical model of the fuzzy cold storage problem (FCSP), which can be regarded as a complex variant of the knapsack problem. Profits of perishable food products are fuzzified and represented by triangular fuzzy numbers (TFNs). To solve the fuzzy system, we use the k-preference integration as the defuzzification method. Given … Show more

Keywords: Cold storage problem, firefly algorithm, k-preference integration, triangular fuzzy number, perishable food

DOI: 10.3233/JIFS-169084

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2431-2440, 2016

Price: EUR 27.50
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