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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.
Authors: Tripathy, Binod Chandra | Debnath, Shyamal
Article Type: Research Article
Abstract: In this paper we introduce the notion of γ-open sets and γ-continuous functions in fuzzy bitopological spaces. We examine some basic properties and prove some characterization theorems for the said functions. It is observed that every pairwise fuzzy γ-continuous functions is pairwise fuzzy precontinuous but the converse not true.
Keywords: Topology, fuzzy numbers, fuzzy bitopological space, pre-open sets, continuous function
DOI: 10.3233/IFS-2012-0582
Citation: Journal of Intelligent & Fuzzy Systems, vol. 24, no. 3, pp. 631-635, 2013
Authors: Majumdar, Pinaki | Samanta, Syamal Kumar
Article Type: Research Article
Abstract: In this paper the notion of similarity between vague soft sets have been introduced. Two types of measures of similarity have been introduced which are based on Hausdorff metric and set theoretic approach respectively. Some properties of these measures have also been studied. Application of each similarity measure in a decision making problem has been shown. A comparison of this new decision making technique with an earlier available technique has been done.
Keywords: Soft sets, Fuzzy soft sets, vague set, vague soft set, similarity measure, hausdorff metric
DOI: 10.3233/IFS-2012-0583
Citation: Journal of Intelligent & Fuzzy Systems, vol. 24, no. 3, pp. 637-646, 2013
Authors: Leoreanu-Fotea, V. | Zhan, Jianming | Leoreanu, L.
Article Type: Research Article
Abstract: In this paper, the concepts of fuzzy Γ-hyperrings and fuzzy Γ-hypermodules are introduced as a generalization of fuzzy hyperrings and fuzzy hypermodules. An algebraic study is initiated, which contains several characterization theorems.
Keywords: Fuzzy Γ-hypering, fuzzy Γ-hypermodule
DOI: 10.3233/IFS-2012-0584
Citation: Journal of Intelligent & Fuzzy Systems, vol. 24, no. 3, pp. 647-655, 2013
Authors: Bid, Soumita D. | Mistry, N.J.
Article Type: Research Article
Abstract: Amongst the various sources of pollution, solid wastes have drawn the highest attention due to improper management. Biomedical wastes are a part of solid waste which was not given much attention earlier but due to various hazards it caused to environment, a proper management was realized to be necessary. Considering the present environmental status regarding generation of Biomedical waste, this study puts forward application of fuzziness to the crisp values of the weights of different categories of Biomedical wastes. This study focuses on evolving a methodology to develop an integrated infection pollution index, which will provide an effective tool to …study the infection potential of a hospital although no norms have been set up by any pollution control body. Show more
Keywords: MCDM (multi criteria Decision Making), biomedical wastes, WSM, final index and ranking
DOI: 10.3233/IFS-2012-0585
Citation: Journal of Intelligent & Fuzzy Systems, vol. 24, no. 3, pp. 657-663, 2013
Authors: Li, Xiaoou | Yu, Wen | Li, Xiaoli
Article Type: Research Article
Abstract: Unlike the other fuzzy neural networks, in this paper the fuzzy system and the neural network are separated, and they are corresponding to structure identification and parameter identification. The fuzzy model is generated automatically by on-line clustering method and fuzzy support vector machines. This fuzzy model is not updated, but its modeling error is compensated by a neural network. The neural network acts as the parameter identification model. The benefits of this new method are the structure is simple, and the physical meanings of each part of the model are clear. For the neural compensator, a new stable and fast …training algorithm is proposed. Finally, this modeling method is successfully applied to model a magnetic tube recovery ratio in a metal company in China. Show more
DOI: 10.3233/IFS-2012-0586
Citation: Journal of Intelligent & Fuzzy Systems, vol. 24, no. 3, pp. 665-675, 2013
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