Journal of Intelligent & Fuzzy Systems - Volume 31, issue 1

Authors: Mosayebian, Mohammad Ehsan | Soleymani, Soodabeh | Mozafari, Babak | Shayanfar, Heidar Ali

Article Type: Research Article

Abstract: This paper presents a proper scenario-based method for hourly operation management of a Micro-Grid (MG) in a stochastic environment. The proposed method can model the uncertainty of the power produced by wind and solar resources, load demand and electricity market price simultaneously. In order to reduce the computational time of the problem, a Linear Programming (LP) is proposed to reduce and rearrange the number of scenarios and their probabilities respectively. The optimal objective value of the original multi-scenario problem is closely approximated by the optimal objective value of the reduced problem. In fact, the original stochastic model is transformed into …a deterministic equivalent using the reduced set of scenarios. Each new obtained scenario is considered as the input for a deterministic problem with a specific probability. In this regard, each problem is formulated as a multi-objective optimization problem to minimize the total operating cost of the MG considering reliability issues. Then, the Shuffled Frog Leaping Algorithm (SFLA) is employed to solve the optimization problem. The SFLA is also compared with conventional heuristic algorithms (i.e., Simulated Annealing (SA), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA)) in terms of capability and superiority. The simulations are conducted on a typical low-voltage grid-connected MG which includes Micro-Turbine (MT), high penetration of Wind Turbine (WT) and Photovoltaic (PV) generation and Energy Storage System (ESS). Show more

Keywords: Optimal operation management, micro-grid, shuffled frog leaping, linear programming

DOI: 10.3233/IFS-162170

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 565-577, 2016

Authors: Kumar, Paulraj Ranjith | Santhakumar, K. | Palani, S.

Article Type: Research Article

Abstract: In contemporary and future embedded as well as high-performance microprocessors, power consumption is one of the most important design considerations. Because in current technologies, the dynamic power consumption dominates the static power consumption, voltage scaling is an effective technique to reduce the power consumption. In multiprocessor systems, an efficient scheduling of sequential and parallel tasks onto the processors is known to be NP- Hard problem. In this paper, the problem of minimizing schedule length with energy consumption constraint and the problem of minimizing energy consumption with schedule length constraint on homogeneous and heterogeneous multiprocessor computers through independent sequential and parallel …tasks are proposed. These problems emphasize the tradeoff between power and performance and are defined such that the power-performance product is optimized by fixing one factor and minimizing the other and vice versa. The performances of the proposed algorithm with optimal solutions are validated using Discrete Particle Swarm Optimization (DPSO). The proposed algorithms achieve 47.5% of power savings and 45.5% of energy saving with 23.5% increased schedule length when the processors operate its maximum frequency. Show more

Keywords: Embedded systems, multiprocessor, discrete particle swarm optimization, energy reduction, dynamic voltage scaling

DOI: 10.3233/IFS-162171

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 579-587, 2016

Authors: Ozdemir, Yavuz | Basligil, Huseyin

Article Type: Research Article

Abstract: Airway transportation is the fastest type of transportation. Advances in aviation technologies, planes’ increased speed, and the large number of companies in the airway transportation sector cause rising competition and lower prices. In such an important sector, each type of investment has to be feasible and logical, e.g. airport location, aircraft purchase, services, crews and their assignment, etc. Whether purchasing, renting or chartering aircraft, airline companies’ biggest cost is the maintenance of their fleet. For this reason, in this paper we study the purchase of aircraft in a Turkish airline company using fuzzy numbers. Multi criteria-decision making techniques, fuzzy ANP …and Choquet integral methods are used for evaluation and the results of both algorithms are compared by using fuzzy AHP. The main contribution of this paper is to determine the interdependency among main criteria and subcriteria, the nonlinear relationship among them and the environmental uncertainties. To the authors’ knowledge, this will be the first study which compares the results of fuzzy ANP and Choquet integral methods using fuzzy AHP. Show more

Keywords: Aircraft, fuzzy AHP, fuzzy ANP, choquet integral, multi-criteria decision making (MCDM)

DOI: 10.3233/IFS-162172

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 589-600, 2016

Authors: Wei, Shuang | Jiang, Defu | Wang, Feng

Article Type: Research Article

Abstract: This paper presents a new multiobjective genetic programming (MOGP) approach, to realize an all-in-one automatic nonlinear system design (NSD). The nonlinear system design is here modeled as a multiobjective optimization problem (MOP) to solve parameter estimation, structure optimization and feature selection simultaneously. The novel MOGP method is then proposed to rank individuals according to the ‘compromise distance’ between them, which has the benefit of combining decision making for NSD with the optimization process to get the final compromise solution in a single process. The effectiveness of the proposed learning approach for nonlinear system design is verified through experiments on the …classical nonlinear autoregressive with extra inputs (NARX) system by comparison with classical aggregating method and a Pareto-based method for MOP. Finally, experimental results demonstrate the proposed approach is available to explore the unknown structure of nonlinear systems as well as the features and parameters with high accuracy and efficiency. Show more

Keywords: Multiobjective genetic programming (GP), compromise distance, nonlinear system design, evolutionary multiobjective optimization (EMO)

DOI: 10.3233/IFS-162174

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 601-611, 2016

Authors: Jana, Chiranjibe | Senapati, Tapan | Pal, Madhumangal

Article Type: Research Article

Abstract: In this paper, we first introduce the concept of quasi-coincidence of an intuitionistic fuzzy point within an intuitionistic fuzzy set. By using this new idea, we further introduce the notions of (∈, ∈ ∨ q )-intuitionistic fuzzy BCI -subalgebras of BCI-algebras and investigate some of their related properties. Some characterization theorems of these generalized intuitionistic fuzzy BCI -subalgebras are derived. Then we study the cartesian product of (∈, ∈ ∨ q )-intuitionistic fuzzy BCI -subalgebras. Finally, we introduce the homomorphism of intuitionistic fuzzy BCI -algebras, and prove that image and inverse image of an intuitionistic fuzzy set on a BCI -algebra should be an …(∈, ∈ ∨ q )-intuitionistic fuzzy BCI -subalgebra on the basis of homomorphism of BCI -algebra. Show more

Keywords: BCI-algebras, fuzzy set, (∈, ∈ ∨ q)-intuitionistic fuzzy BCI-subalgebra, cartesian product, homomorphism

DOI: 10.3233/IFS-162175

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 613-621, 2016

Authors: Ozkok, Beyza Ahlatcioglu | Albayrak, Inci | Kocken, Hale Gonce | Ahlatcioglu, Mehmet

Article Type: Research Article

Abstract: Kumar and Kaur [A. Kumar and J. Kaur Fuzzy optimal solution of fully fuzzy linear programming problems using ranking function. Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 26 (1)(2014), 337–344.] proposed a method to find the fuzzy optimal solution of fully fuzzy linear programming (FFLP) problems with mixed constraints. They claimed that the FFLP problem with mixed constraints in which decision variables are represented by nonnegative triangular fuzzy numbers and the remaining parameters are represented by any type of triangular fuzzy numbers cannot be solved by any of the existing methods while all such FFLP …problems can be solved by using their proposed method. In this paper, it is showed that the infeasibility case of the FFLP cannot be handled by the Kumar and Kaur’s method. We have provided an extension to the method of Kumar and Kaur [A. Kumar and J. Kaur Fuzzy optimal solution of fully fuzzy linear programming problems using ranking function. Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 26 (1)(2014), 337–344.] to find fuzzy optimal solution to the feasible case and approximate fuzzy optimal solution to the infeasible case of FFLP problem with mixed constraints. To the best of our knowledge, there does not exist any study which deals with the infeasibility case of FFLP problem. Show more

Keywords: Fully fuzzy linear programming problem (FFLP), triangular fuzzy numbers, ranking function, infeasibility

DOI: 10.3233/IFS-162176

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 623-632, 2016

Authors: Qu, Guohua | Zhang, Hanpeng | Qu, Weihua | Zhang, Zhenhua

Article Type: Research Article

Abstract: In this study, two induced generalized dual hesitant fuzzy hybrid operators called the induced generalized dual hesitant fuzzy Shapley hybrid weighted averaging (IG-DHFSHWA) operator and the induced generalized dual hesitant fuzzy Shapley hybrid geometric mean (IG-DHFSHGM) operator are defined. These operators not only globally consider the importance of the elements and their ordered positions, but also overall reflect their correlations. Furthermore, when the weight information about attributes and ordered positions is partly known, using similarity measure analysis (SMA) method and the Shapley function models for the optimal fuzzy measures on an attribute set and on an ordered set are respectively …established. Then, an approach to multi-attributes decision making with incomplete weight information and interactive conditions under dual-hesitant fuzzy environment is developed. Finally, a practical example for green supplier evaluation problem with dual hesitant fuzzy information is employed to verify the developed approach and to demonstrate its practically and effectiveness. Show more

Keywords: Multi-attribute decision making, dual hesitant fuzzy sets, the similarity measure analysis method, Shapley functions

DOI: 10.3233/IFS-162177

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 633-650, 2016

Authors: Karaaslan, Faruk | Ahmad, Imtiaz | Ullah, Aman

Article Type: Research Article

Abstract: In this study, a group structure on bipolar soft sets called bipolar soft group is constructed and some of its properties are investigated. Also, (α , β )-level set of a bipolar soft set is defined and some of its properties are obtained.

Keywords: Soft set, bipolar soft set, soft int-group, bipolar soft group, level set

DOI: 10.3233/IFS-162178

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 651-662, 2016

Authors: Ye, Jun

Article Type: Research Article

Abstract: A simplified neutrosophic set (SNS) is a subclass of neutrosophic set and contains a single-valued neutrosophic set (SVNS) and an interval neutrosophic set (INS). It was proposed as a generalization of an intuitionistic fuzzy set (IFS) and an interval-valued intuitionistic fuzzy set (IVIFS) in order to deal with indeterminate and inconsistent information. The paper proposes another form of the Dice measures of SNSs and the generalized Dice measures of SNSs and indicates that the Dice measures and asymmetric measures (projection measures) are the special cases of the generalized Dice measures in some parameter values. Then, we develop the generalized Dice …measures-based multiple attribute decision-making methods with simplified neutrosophic information. By the weighted generalized Dice measures between each alternative and the ideal solution (ideal alternative) corresponding to some parameter value required by decision makers’ preference, all the alternatives can be ranked and the best one can be obtained as well. Finally, a real example on the selection of manufacturing schemes demonstrates the applications of the proposed decision-making methods under simplified neutrosophic environment. The effectiveness and flexibility of the proposed decision-making methods are shown by choosing different parameter values. Show more

Keywords: Generalized Dice measure, Dice measure, decision making, simplified neutrosophic set, asymmetric measure, projection measure

DOI: 10.3233/IFS-162179

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 663-671, 2016

Authors: Wei, Cuiping | Yan, Feifei | Rodríguez, Rosa M.

Article Type: Research Article

Abstract: Entropy is used to measure the uncertain degree of fuzzy sets and has been widely used in many fields. This paper introduces an axiomatic definition of entropy measure and a novel entropy formula for hesitant fuzzy elements (HFEs). Afterwards, a general form of entropy measures for HFEs is proposed, from which a family of concrete entropy formulas for HFEs can be derived. Compared with the existing ones, these formulas can measure both fuzziness and hesitation of HFEs, as a result, the uncertain information can be described in a more appropriate manner. The proposed axiomatic definition and entropy formulas are used …to define the entropy measure for hesitant fuzzy sets. A multi-criteria decision making model which uses the proposed entropy measures for HFEs to compute the criteria weights and obtain a ranking of alternatives is introduced. Show more

Keywords: Hesitant fuzzy set, entropy measure, multi-criteria decision-making

DOI: 10.3233/IFS-2180

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 673-685, 2016