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Journal of Intelligent & Fuzzy Systems - Volume 23, 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.

Fuzzy (m,n)-ary sub-hypermodules (with thresholds)

Authors: Davvaz, B. | Corsini, P.

Article Type: Research Article

Abstract: This paper considers a relationship between fuzzy sets and (m,n)-ary hypermodules. We introduce the notion of a fuzzy and anti fuzzy (m,n)-ary sub-hypermodules. A generalization of ideas presented by Davvaz and Corsini [Information Sciences 177 (2007) 865-875] and Bhakat and Das [Fuzzy Sets and Systems 80 (1996) 359-368], is presented. In fact, we study (∈, ∈ ∨ q)-fuzzy (m,n)-ary sub-hypermodules. Also, the concept of a fuzzy (m,n)-ary sub-hypermodule with thresholds is investigated.

Keywords: Hypergroup, hyperring, hypermodule, fuzzy set, fuzzy sub-hypermodule

DOI: 10.3233/IFS-2012-0489

Citation: Journal of Intelligent & Fuzzy Systems, vol. 23, no. 1, pp. 1-8, 2012

Price: EUR 27.50

Atanassov's intuitionistic fuzzy grade of a sequence of fuzzy sets and join spaces determined by a hypergraph

Authors: Davvaz, B. | Hassani Sadrabadi, E. | Leoreanu-Fotea, V.

Article Type: Research Article

Abstract: The length of the sequence of join spaces and Atanassov's intuitionistic fuzzy sets associated with a hypergroupoid H is called the Atanassov's intuitionistic fuzzy grade of H. In this paper, we consider a certain sequence of Atanassov's intuitionistic fuzzy sets and join spaces determined by a hypergroupoid associated with a hypergraph. We study this sequence in several particular cases and determine the Atanassov's intuitionistic fuzzy grade of a such sequence.

Keywords: Fuzzy set, Atanassov's intuitionistic fuzzy set, hypergraph, fuzzy grade, join space

DOI: 10.3233/IFS-2012-0490

Citation: Journal of Intelligent & Fuzzy Systems, vol. 23, no. 1, pp. 9-25, 2012

Price: EUR 27.50

Adaptive fuzzy system to forecast financial time series volatility

Authors: Luna, Ivette | Ballini, Rosangela

Article Type: Research Article

Abstract: This paper introduces an adaptive fuzzy rule-based system applied as a financial time series model for volatility forecasting. The model is based on Takagi–Sugeno fuzzy systems and is built in two phases: In the first, the model uses the subtractive clustering algorithm to determine initial group structures in a reduced data set. In the second phase, the system is modified dynamically by adding and pruning operators and applying a recursive learning algorithm based on the expectation maximization optimization technique. The algorithm automatically determines the number of fuzzy rules necessary at each step, and one-step-ahead predictions are estimated and parameters updated. … Show more

Keywords: Adaptive fuzzy systems, online learning, time series forecasting, volatility, GARCH

DOI: 10.3233/IFS-2012-0491

Citation: Journal of Intelligent & Fuzzy Systems, vol. 23, no. 1, pp. 27-38, 2012

Price: EUR 27.50

Book review

Article Type: Book Review

DOI: 10.3233/IFS-2012-0492

Citation: Journal of Intelligent & Fuzzy Systems, vol. 23, no. 1, pp. 39-40, 2012

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