Journal of Intelligent & Fuzzy Systems - Volume 26, issue 1

Authors: Wang, Xin-Fan | Wang, Jian-Qiang | Yang, Wu-E

Article Type: Research Article

Abstract: For multi-criteria group decision making problems with intuitionistic linguistic information, we define a new score function and a new accuracy function of intuitionistic linguistic numbers, and propose a simple approach for the comparison between two intuitionistic linguistic numbers. Based on the intuitionistic linguistic weighted arithmetic averaging (ILWAA) operator, we define two new intuitionistic linguistic aggregation operators, such as the intuitionistic linguistic ordered weighted averaging (ILOWA) operator and the intuitionistic linguistic hybrid aggregation (ILHA) operator, and establish various properties of these operators. The ILOWA operator weights the ordered positions of the intuitionistic linguistic numbers instead of weighting the arguments themselves. The …ILHA operator generalizes both the ILWAA operator and the ILOWA operator at the same time, and reflects the importance degrees of both the given intuitionistic linguistic numbers and the ordered positions of these arguments. Furthermore, based on the ILHA operator and the ILWAA operator, we develop a multi-criteria group decision making approach, in which the criteria values are intuitionistic linguistic numbers and the criteria weight information is known completely. Finally, an example is given to illustrate the feasibility and effectiveness of the developed method. Show more

Keywords: Multi-criteria group decision making, intuitionistic linguistic number, intuitionistic linguistic ordered weighted averaging (ILOWA) operator, intuitionistic linguistic hybrid aggregation (ILHA) operator

DOI: 10.3233/IFS-120719

Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 1, pp. 115-125, 2014

Authors: Zeng, Shouzhen | Su, Weihua | Chen, Ji

Article Type: Research Article

Abstract: In this paper, we introduce a new fuzzy decision making technique called the fuzzy induced heavy ordered weighted averaging distance (FIHOWAD) operator. It is an extension of the ordered weighted averaging (OWA) operator that uses the main characteristics of the induced OWA (IOWA), the Hamming distance, the heavy OWA (HOWA) and uncertain information represented as fuzzy numbers. A key feature of the FIHOWAD operator is that it generalizes a wide range of aggregation operators such as the fuzzy minimum distance, the fuzzy weighted Hamming distance (FWHD), the fuzzy OWA distance (FOWAD), the fuzzy IOWA distance (FIOWAD) and the fuzzy heavy …OWA distance (FHOWAD) operators. We studied some of its main properties and different particular cases. Finally, we present a numerical example to illustrate the new approach in a financial decision making problem. Show more

Keywords: Distance measures, induced heavy aggregation operators, fuzzy numbers, decision making

DOI: 10.3233/IFS-120720

Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 1, pp. 127-135, 2014

Authors: Turkoglu, Duran | Sangurlu, Muzeyyen

Article Type: Research Article

Abstract: Mihet (D. Mihet, Fuzzy ψ – contractive mappings in non-Archimedean fuzzy metric spaces, Fuzzy Sets and Systems 159 (2008), 739–744) proved a fixed point theorem for fuzzy ψ – contractive mappings in non-Archimedean fuzzy metric spaces. Motivated by this, in this paper, we provide two kinds of fixed point theorems in fuzzy metric spaces. First we prove a common fixed point theorem for fuzzy ψ – contractive mappings in fuzzy metric spaces and then we obtain a common fixed point theorem for three mappings in fuzzy metric spaces, by contractivity condition (D. Mihet, A Banach contraction theorem in fuzzy metric …spaces, Fuzzy Sets and Systems 144 (2004), 431–439), (V. Radu, Some remarks on the probabilistic on fuzzy menger spaces, in: The Eighth Internal Conference on Appl Math Com-put Sci, Cluj-Napoca, 2002, Automat Comput Appl Math 11 (2002), 125–131). Show more

Keywords: Fixed point, fuzzy ψ – contractive mapping, fuzzy metric space

DOI: 10.3233/IFS-120721

Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 1, pp. 137-142, 2014

Authors: Song, Min Kook | Park, Jin Bae | Joo, Young Hoon

Article Type: Research Article

Abstract: In this paper, a new type of Lyapunov–Krasovskii functional method is constructed to study delay-range-dependent stability analysis and stabilization problems for Takagi–Sugeno (T–S) fuzzy neutral systems with time-varying delay. The present results may improve the existing ones due to a method to estimate the upper bound of the derivative of Lyapunov-Krasovskii functional without ignoring some useful terms and the introduction of additional terms into the proposed Lyapunov-Krasovskii functional, which take into account the range of delay. On the basis of a novel Lyapunov–Krasovskii functionals, which includes the information of the range of dealy, delay-range-dependent stability criteria are established in terms …of linear matrix inequalities (LMIs). Moreover, the stability criteria are also used to design a stabilizing fuzzy controller. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method. Show more

Keywords: Linear matrix inequality (LMI), fuzzy neutral systems, time varying delays

DOI: 10.3233/IFS-120722

Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 1, pp. 143-152, 2014

Authors: Ahmadizar, Fardin | Zeynivand, Mehdi

Article Type: Research Article

Abstract: This paper proposes a fuzzy bi-objective mixed integer linear programming formulation and solution methodology for a multi-echelon, multi-product and multi-period supply chain planning. The supply chain is a network of suppliers, plants, distribution centers, cross-docks and retailers. Products are delivered to retailers through cross-docks or directly from manufacturing plants. Cross-docking as an efficient logistic strategy is an intermediate level that involves receiving products from various resources (distribution centers), sorting and then shipping them to their destinations (retailers). The aim of this paper is to present a model that minimizes the total cost and develops a just-in-time (JIT) distribution for the …supply chain. The proposed model integrates procurement, production and distribution plans in the tactical level under fuzzy supply, production and demand by considering cross-docking and direct shipments simultaneously. Triangular fuzzy numbers are adapted to represent fuzzy parameters. Moreover, the fuzzy chance-constrained programming is applied to transform the fuzzy model into an auxiliary crisp model. Show more

Keywords: Supply chain planning, cross-docking, JIT, fuzzy numbers, chance-constrained programming

DOI: 10.3233/IFS-120723

Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 1, pp. 153-164, 2014

Authors: Ye, Jun

Article Type: Research Article

Abstract: An interval neutrosophic set is an instance of a neutrosophic set, which can be used in real scientific and engineering applications. In the paper, the Hamming and Euclidean distances between interval neutrosophic sets (INSs) are defined and the similarity measures between INSs are proposed based on the relationship between similarity measures and distances. In the applications of the similarity measures, a multicriteria decision-making method is established in interval neutrosophic setting, in which criterion values with respect to alternatives are evaluated by the form of interval neutrosophic values (INVs) and the criterion weights are known information. We utilize the similarity measures …between each alternative and the ideal alternative to rank the alternatives and to determine the best one. Finally, an illustrative example demonstrates the applications of the proposed decision-making method. Show more

Keywords: Interval neutrosophic set, Hamming distance, Euclidean distance, similarity measure, multicriteria decision-making

DOI: 10.3233/IFS-120724

Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 1, pp. 165-172, 2014

Authors: Lau, H.C.W. | Ho, G.T.S. | Chan, T.M. | Tsui, W.T.

Article Type: Research Article

Abstract: This paper presents a joint optimization of the supply chain network in which supplier selection, lateral transshipment, and vehicle routing are involved. Separate consideration of these decisions involved probably offers only poor-quality local optimal solutions. The contribution of this paper is to study the cost minimization of the supply chain network involving the three decisions simultaneously, using both vertical and preventive lateral transshipment, and considering both single objective and multi-objective approach with the following objectives: (a) minimize the total ordering cost incurred by the wholesaler, (b) maximize the amount of savings on the different products, and (c) find the best …sequence for delivering various kinds of products to different retailers. A stochastic search technique called fuzzy logic guided genetic algorithms (FLGA) is proposed to solve the problems. In order to demonstrate the effectiveness of the FLGA, several search methods are compared with the FLGA through simulations in the single objective approach. In the multi-objective approach, two multi-objective evolutionary algorithms entitled Nondominated Sorting Genetic Algorithms 2 (NSGA2) and Strength Pareto Evolutionary Algorithm 2 (SPEA2) are adopted for comparison with the FLGA. Results show that the FLGA outperforms others in all three considered scenarios for both single objective and multi-objective approaches. Show more

Keywords: Fuzzy logic, genetic algorithms, integer programming, lateral transshipment, optimization, supplier selection, supply chain network, vehicle routing

DOI: 10.3233/IFS-120725

Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 1, pp. 173-192, 2014

Authors: Wang, Xueqiao | Ruan, Qiuqi | Jin, Yi | An, Gaoyun

Article Type: Research Article

Abstract: In this paper, a fully automatic framework is proposed for 3D face recognition and its superiority performance is justified by the FRGC v2 data. For 3D data preprocessing, a new face smoothing method is proposed. Meanwhile, 3D facial representation, which is extracted by the Dual-tree Complex Wavelet Transform (DT-CWT), is introduced to reflect the facial geometry properties. Low redundancy makes it more effective and efficient to describe the discriminant feature in 2.5D range data. In this paper, DT-CWT is used into 2.5D range data in conjunction with the Linear Discriminant Analysis (LDA) to form a rejection classifier, which can quickly …eliminate a large number of candidate gallery faces. The remaining faces are then verified using sparse representation based classification. Our method achieves the verification rate of 98.66% on All vs. All experiment at an FAR of 0.1%. Show more

Keywords: Dual-tree Complex Wavelet Transform, 3D face recognition, rejection classifier, sparse representation based classification

DOI: 10.3233/IFS-120726

Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 1, pp. 193-201, 2014

Authors: Sumithira, T.R. | Kumar, A. Nirmal

Article Type: Research Article

Abstract: In South India, Tamil Nadu has enormous solar potential, because of its location on the Deccan plateau, with an annual average solar radiation ranging from 4–7 kWhm-2. This study, presents an adaptive neuro-fuzzy inference system (ANFIS) based modelling approach to predict the monthly global solar radiation (MGSR) in Tamil Nadu (India). The statistical performance parameters on predicted and measured values validate the model. In addition, a case study was discussed on the application of predicted solar radiation for sizing of the standalone PV system design including battery and their results were observed to be satisfactory when compared with the other …earth regions found in the literature. A detailed investigation on the complete standalone PV system emphasize that the performance is satisfactory from predicted solar radiation and sizing co-efficients for any geographical location and particularly in isolated sites where the global solar radiation data is not always available. Show more

Keywords: Adaptive neuro-fuzzy inference system, monthly global solar radiation, root mean square error, sizing co-efficient, standalone solar photovoltaic system

DOI: 10.3233/IFS-120727

Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 1, pp. 203-210, 2014

Authors: Xiong, Dan | Chen, Y.H. | Zhao, Han

Article Type: Research Article

Abstract: We consider a decentralized control design for a class of fuzzy complex systems. This system contains uncertainty, consists of multiple subsystems, and faces information structure constraints. The uncertainty is represented by an uncertain bound, which is described by a fuzzy membership function. The control scheme is decentralized. In addition, it is robust and optimal: while it guarantees certain performance regardless of the uncertainty, it also minimizes a performance index. With regard to the minimization phase of the design, the solution is shown to be existent and unique.

Keywords: Large-scale system, decentralized control, fuzzy set theory, optimal design

DOI: 10.3233/IFS-120728

Citation: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 1, pp. 211-222, 2014