Journal of Intelligent & Fuzzy Systems - Volume 27, issue 1

Authors: Vosoogh, Mahdi | Kamyar, Mohsen | Akbari, Ayat | abbasi, Alireza

Article Type: Research Article

Abstract: The consumer's demand of more reliable and economic sources has made an impact on the new competitive electricity markets. In this regard, the accurate operation management of Micro-Grid (MG) with various types of renewable power sources (RES) can be an effective approach. This paper presents a novel solution methodology based on Teacher-Learning-Based Optimization (TLBO) algorithm to solve the optimal energy management of MG including several RESs with the back-up of Fuel Cell (FC), Wind Turbine (WT), photovoltaic (PV) and Micro Turbine (MT). Moreover, storage devices have been considered to meet the energy mismatch. The solution of this nonlinear constraint optimization …problem minimizes the total cost of the grid and RESs, concurrently. Nevertheless, in finding the optimal solution, the interactive effects of MG and utility in a 24 hour time interval are taken into consideration which would increase the complexity of the problem intensely. In order to explore the total search space globally, a modification method is proposed which is compromised of two modification methods based on TLBO. In the end, the suggested algorithm is tested through a typical renewable MG as the test system to demonstrate the superiority of the proposed method over the other well-known algorithms. Show more

Keywords: Renewable micro-grid (MG), renewable power sources (RESs), modified teacher-learning-based optimization (MTLBO), nonlinear constraint optimization

DOI: 10.3233/IFS-131014

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 1, pp. 465-473, 2014

Authors: Sang, Xiuzhi | Liu, Xinwang | Chen, Lianghua

Article Type: Research Article

Abstract: We develop the parametric weighted ordered weighted average (WOWA) operator in dynamic decision problems represented by multi-criteria decision tree, which combines the regular increasing monotonic (RIM) quantifiers with piecewise linear function. The parametric WOWA operator with piecewise linear function can be used to represent various preferences of the decision makers in the forms of risk pessimistic, risk neutral and risk optimistic, respectively. The expected utility theory becomes a special case of it with risk neutral attitude. Meanwhile, some properties of the parametric WOWA operator with piecewise linear function are provided and the advantages of it in solving dynamic decision making …problems are summarized. Different attitudes of the decision makers can be implemented by changing the values of parameter in parametric WOWA operators under different application contexts. Finally, an example is introduced to illustrate our theoretical results with decision tree for introducing and pricing new product. Show more

Keywords: Parametric WOWA operator, RIM quantifiers, piecewise linear function, decision tree, dynamic decision making

DOI: 10.3233/IFS-131016

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 1, pp. 475-486, 2014

Authors: Kim, Chang Bum | Kim, Hee Sik | So, Keum Sook

Article Type: Research Article

Abstract: In this paper we introduce the notion of a fuzzy polynomial ideal αx of a polynomial ring R[x] induced by a fuzzy ideal α of a ring R, and obtain an isomorphism theorem of a ring of fuzzy cosets of αx . It is shown that a fuzzy ideal α of a ring is fuzzy prime if and only if αx is a fuzzy prime ideal of R[x]. Moreover, we show that if αx is a fuzzy maximal ideal of R[x], then α is a fuzzy maximal ideal of R.

Keywords: Fuzzy polynomial ideal, fuzzy ideal, f-invariant

DOI: 10.3233/IFS-131017

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 1, pp. 487-494, 2014

Authors: Hazarika, Bipan

Article Type: Research Article

Abstract: In this article, the concept of lacunary ideal convergent double sequences of fuzzy numbers have been introduced. Also the relation between lacunary ideal convergent and lacunary ideal Cauchy double sequences of fuzzy numbers have been established. Furthermore, the notions of lacunary ideal limit point and lacunary ideal cluster points have been introduced and find the relation between these two notions.

Keywords: I-convergence, double sequence, double lacunary sequence, fuzzy number, I-limit point, I-cluster point

DOI: 10.3233/IFS-131018

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 1, pp. 495-504, 2014

Authors: Huang, Ju-Ying

Article Type: Research Article

Abstract: Intuitionistic fuzzy information aggregation plays an important part in the intuitionistic fuzzy set theory, which has emerged to be a new research direction receiving more and more attention in recent years. In this paper, we first introduce some operations on the intuitionistic fuzzy sets, such as Hamacher sum, Hamacher product, Hamacher exponentiation, etc., and further develop some new Hamacher aggregation operators, such as the intuitionistic fuzzy Hamacher weighted averaging (IFHWA) operator, the intuitionistic fuzzy Hamacher ordered weighted averaging (IFHOWA) operator and the intuitionistic fuzzy Hamacher hybrid averaging (IFHHA) operator. We also establish some desirable properties of these operators, such as …commutativity, idempotency and monotonicity, and give some numerical examples to illustrate the developed aggregation operators. Then, we apply the intuitionistic fuzzy Hamacher hybrid averaging (IFHHA) operator to deal with multiple attribute decision making with Intuitionistic fuzzy information. Finally, an illustrative example for evaluating the enterprise financial performance is given to verify the developed approach and to demonstrate its practicality and effectiveness. Show more

Keywords: Intuitionistic fuzzy numbers, operational laws, intuitionistic fuzzy Hamacher weighted averaging (IFHWA) operator, intuitionistic fuzzy Hamacher ordered weighted averaging (IFHOWA) operator, intuitionistic fuzzy Hamacher hybrid averaging (IFHHA) operator, enterprise financial performance

DOI: 10.3233/IFS-131019

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 1, pp. 505-513, 2014

Authors: Elloumi, Walid | Baklouti, Nesrine | Abraham, Ajith | Alimi, Adel M.

Article Type: Research Article

Abstract: In this paper, we illustrate a novel optimization approach based on Multi-objective Particle Swarm Optimization (MOPSO) and Fuzzy Ant Colony Optimization (FACO). The basic idea is to combine these two techniques using the best particle of the Fuzzy Ant algorithm and integrate it as the best local Particle Swarm Optimization (PSO), to formulate a new approach called hybrid MOPSO with FACO (H-MOPSO-FACO). This hybridization solves the multi-objective problem, which relies on both time performance criteria and the shortest path. Experimental results illustrate that the proposed method is efficient.

Keywords: Multi-objective, particle swarm optimization, ant colony optimization, fuzzy, swarm intelligence

DOI: 10.3233/IFS-131020

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 1, pp. 515-525, 2014

Authors: Xiao, Shuo

Article Type: Research Article

Abstract: In this paper, we first introduce some operations on interval-valued intuitionistic fuzzy sets, such as Hamacher sum, Hamacher product, etc., and further develop the induced interval-valued intuitionistic fuzzy Hamacher ordered weighted geometric (I-IVIFHOWG) operator. We also establish some desirable properties of this operator, such as commutativity, idempotency and monotonicity. Then, we apply the induced interval-valued intuitionistic fuzzy Hamacher ordered weighted geometric (I-IVIFHOWG) operator to deal with the interval-valued intuitionistic fuzzy multiple attribute decision making problems. Finally, an illustrative example for evaluating the security of wireless sensor network is given to verify the developed approach and to demonstrate its practicality and …effectiveness. Show more

Keywords: Interval-valued intuitionistic fuzzy numbers, operational laws, the induced interval-valued intuitionistic fuzzy Hamacher ordered weighted geometric (I-IVIFHOWG) operator, wireless sensor network

DOI: 10.3233/IFS-131021

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 1, pp. 527-534, 2014

Authors: Lin, Chun-Wei | Hong, Tzung-Pei

Article Type: Research Article

Abstract: In the past, most algorithms proposed for mining association rules handle items with binary values. Transactions with quantitative values are, however, commonly seen in real-world applications. Fuzzy mining algorithms for inducing rules from quantitative databases have thus been developed, most of which are based on the Apriori algorithm. Fuzzy mining is seldom based on frequent pattern (FP) trees because fuzzy-set processing from an FP tree is much more complicated than crisp-set processing. In this paper, a two-phase fuzzy mining approach based on a tree structure to obtain fuzzy frequent itemsets from a quantitative database is proposed. A simple tree structure …called the upper-bound fuzzy frequent-pattern (UBFFP) tree is designed. The two-phase fuzzy mining approach can easily derive the upper-bound fuzzy counts of itemsets using the tree. It prunes unpromising itemsets in the first phase, and then finds the actual fuzzy frequent itemsets in the second phase. Experimental results show that the proposed approach has good performance. Show more

Keywords: Fuzzy data mining, fuzzy set, two-phase mining, FP tree, UBFFP tree, fuzzy frequent itemsets

DOI: 10.3233/IFS-131022

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 1, pp. 535-548, 2014

Authors: Zhang, Xingfang | Li, Lingqiang | Meng, Guangwu

Article Type: Research Article

Abstract: Uncertain entailment model, presented by Liu in 2009, is a methodology for calculating the truth values of all uncertain formulae from an arbitrary subfamily of uncertain formulae with known truth values. In this paper, we find that the uncertain entailment model works only under some additional conditions. To sketch these conditions, a new notion of uncertain measure-evaluation (U-evaluation for short) is introduced, and a consistent theory based on it is presented. Then a modified (or more concrete) uncertain entailment model is given. Also, a practical example is provided to illustrate the effectiveness of the model.

Keywords: Nonclassical logic, uncertain logic, uncertain entailment

DOI: 10.3233/IFS-131023

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 1, pp. 549-553, 2014

Authors: Singh, Pushpinder

Article Type: Research Article

Abstract: Interval-valued intuitionistic fuzzy sets gained attention from researcher for their applications in various field. The main of this paper is to propose a new similarity measure for interval-valued intuitionistic fuzzy sets. Some properties of proposed similarity measure has been presented this paper. Also the proposed and existing similarity measure are compared to show that the proposed similarity measure is more reasonable than some of the existing similarity measures. For practical use, proposed similarity measure is applied to pattern recognition and in a bidirectional approximate reasoning systems.

Keywords: Interval-valued intuitionistic fuzzy sets, similarity measure, pattern recognition, bidirectional approximate reasoning

DOI: 10.3233/IFS-131024

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 1, pp. 555-566, 2014

Article Type: Correction

DOI: 10.3233/IFS-141221

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 1, pp. 567-567, 2014

Article Type: Correction

DOI: 10.3233/IFS-141226

Citation: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 1, pp. 569-569, 2014