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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: Lan, Yanfei | Zhao, Ruiqing | Tang, Wansheng
Article Type: Research Article
Abstract: This paper analyzes a supply chain contract problem combining pricing with warranty under incomplete information, in which the supplier's product quality is usually unobservable and has a vagueness boundary to the buyer, it is reasonable to be characterized as a fuzzy variable. There are two important decisions of the buyer: the pricing decision and the warranty decision. Thus, a pricing and warranty contract model is developed with the purpose of maximizing the buyer's expected payoff under incentive feasible scheme. The analysis method is mainly decomposing the buyer's problem into an implementation problem and an optimization problem. The results demonstrate that, …if purchasing quantity and product quality are complementary, the buyer's second-best purchasing quantity will be less than the first-best one; if substitutable, the opposite is true. Moreover, in order to demonstrate the superiority/novelty of the proposed model, two degenerated contracts, i.e., the pricing contract and the warranty contract are discussed, respectively, and the advantage of the combined pricing and warranty contract is also given. Finally, one numerical example is given to illustrate the applicability of the proposed model. Show more
Keywords: Fuzzy variable, contract, warranty, pricing, incomplete information
DOI: 10.3233/IFS-130836
Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 3, pp. 1527-1538, 2014
Authors: Naz, Shafaq | Shabir, Muhammad
Article Type: Research Article
Abstract: In this paper, we introduce prime, strongly prime, semiprime, irreducible and strongly irreducible soft bi-hyperideals of a semihypergroup over an initial universe U. We characterize regular and intra-regular semihypergroups in terms of these soft bi-hyperideals.
Keywords: Soft subsemihypergroups, prime (strongly prime) soft bi-hyperideals, semiprime soft bi-hyperideals, irreducible (strongly irreducible) soft bi-hyperideals, regular and intra-regular semihypergroups
DOI: 10.3233/IFS-130837
Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 3, pp. 1539-1546, 2014
Authors: Aghili Ashtiani, Arya | Menhaj, Mohammad Bagher
Article Type: Research Article
Abstract: A modified fuzzy relational modeling structure is presented in this paper by proposing a fuzzy relational inner composition. This leads to an integrated framework for representing multilevel fuzzy relational equations which is able to provide multi-dimensional models of complex systems very effectively. A potentially online derivative-based identification algorithm is also presented for the proposed model. The identification procedure is based on the special t-norm-based and t-conorm-based operations leading to an easy and fast implementation of the proposed algorithm. The proposed modeling structure is customized and used for two different applications. The simulation results show high modeling capability of the proposed …fuzzy relational model. Show more
Keywords: Intelligent Modeling, Fuzzy Relational Model (FRM), Fuzzy Relational Extended Composition (FREC), Fuzzy Relational Inner Composition (FRIC)
DOI: 10.3233/IFS-130838
Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 3, pp. 1547-1555, 2014
Authors: Shi, Fu-Gui | Liang, Chengyu
Article Type: Research Article
Abstract: In this paper, we introduce the concepts of the degrees of compactness, countable compactness and Lindelöf property in L-fuzzy pretopological spaces by means of implication operator. These definitions do not rely on the structure of the basis lattice L and no distributivity in L is required. The notions of pre-compactness and semi-compactness in L-fuzzy topological spaces can be viewed as special cases of compactness in L-fuzzy pretopological spaces. Their properties are investigated. Further when L is completely distributive, their characterizations are presented.
Keywords: L-fuzzy pretopology, implication operator, fuzzy compactness degree, countable compactness, Lindelöf property
DOI: 10.3233/IFS-130839
Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 3, pp. 1557-1561, 2014
Authors: Li, Yong-Bin | Zhang, Jian-Ping
Article Type: Research Article
Abstract: With respect to the hybrid MADM problems for evaluating the computer network security, in which the attribute weights take the form of real numbers, and the attribute preference values take the form of real number, interval number, triangular fuzzy number and trapezoidal fuzzy number and linguistic variables, a new decision making analysis method for evaluating the computer network security is proposed. Firstly, real number, interval number, triangular fuzzy number and trapezoidal fuzzy number and linguistic variables are all transformed into 2-tuple linguistic variables. Then, according to the traditional ideas of technique for order preference by similarity to ideal solution (TOPSIS), …the optimal alternative(s) is determined by calculating the shortest distance from the 2-tuple linguistic positive ideal solution (TLPIS) and on the other side the farthest distance of the 2-tuple linguistic negative ideal solution (TLNIS). The method has exact characteristic in linguistic information processing. It avoided information distortion and losing which occur formerly in the linguistic information processing. Finally, a numerical example for evaluating the computer network security is used to illustrate the use of the proposed method. The result shows the approach is simple, effective and easy to calculate. Show more
Keywords: Hybrid multiple attribute decision making, linguistic assessment information, 2-tuple, TOPSIS, computer network security evaluation
DOI: 10.3233/IFS-130876
Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 3, pp. 1563-1569, 2014
Authors: Tabatabaei, Sajad
Article Type: Research Article
Abstract: This paper suggests a new stochastic framework based on 2 m+1 point estimate method (PEM) to solve the mid-term generation scheduling (SMGS) problem. The new formulation makes use of an adaptive modified bat algorithm and a novel self-adaptive wavelet mutation strategy for the establishment of new robust algorithm for the present problem. In addition, this work improves the modeling process of wind-thermal system in the MGS problem by considering the possible uncertainties when scheduling the generators of power system of the problem. The proposed model can concurrently capture the uncertainty effect of load and wind speed variations. The feasibility and …efficiency of the proposed method is examined using two test systems. Show more
Keywords: Mid-term generation scheduling (MGS), point estimate methods, wind power generation, modified bat algorithm, self-adaptive strategy
DOI: 10.3233/IFS-131015
Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 3, pp. 1571-1579, 2014
Authors: Li, Cun-Bin | Qi, Zhi-Qiang | Feng, Xia
Article Type: Research Article
Abstract: Many risks exist in the informatization project due to its high complexity and diversification and its low success rate. Making an effective assessment of these is key to the risk management of the informatization project. In this paper, we introduce a group assessment approach based on a Cloud model and VIKOR method. This method increases the fairness and reliability of the assessment results that may be adversely affected by the uncertainty and fuzziness caused by the experts' subjective perception and experience. In this method, the qualitative fuzziness of an expert linguistic assessment is transformed into a quantitative cloud model. The …consistency of the experts is then measured by extending the consistency index to the cloud model. Next, an optimal programming model that combines the expert's subjective information with the algorithm of maximum deviation is constructed. The optimal weight of each expert is subsequently calculated. Finally, the risk of the informatization project can be sorted, selected, and classified using the VIKOR method based on the judgment criteria. A numerical example is given to illustrate the efficiency and rationality of the proposed method. Show more
Keywords: Informatization project, group assessment, linguistic scale, cloud model, maximum deviation, VIKOR
DOI: 10.3233/IFS-131095
Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 3, pp. 1581-1592, 2014
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