Journal of Intelligent & Fuzzy Systems - Volume 35, issue 2

Authors: Ahmad, Jamshaid | Al-Mazrooei, Abdullah Eqal | Altun, Ishak

Article Type: Research Article

Abstract: The aim of this paper is to obtain some common α -fuzzy fixed point theorems under generalized Θ-contraction in the setting of complete metric space. In this way, we generalize various results of literature including the main result of Hancer et al. (Fixed Point Theory, 18 (2017), 229-236). We also provide an example to show the significance of the results investigated in this paper.

Keywords: Fuzzy mapping, fixed point, complete metric space

DOI: 10.3233/JIFS-171515

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 1935-1942, 2018

Authors: Lee, Shih-Hsiung | Yang, Chu-Sing

Article Type: Research Article

Abstract: Blind source separation (BSS) is an advanced method of signal processing. Essentially, the problem in BSS is to separate and estimate the original signal from the observed mixed signal source without knowing the characteristics of the original signal. Independent component analysis (ICA) is a popular approach for blind source separation, and because its traditional search scheme is based on a gradient algorithm, a convergence problem will arise. In order to overcome the defect, this paper proposed to apply Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) to conduct accelerated computing of the rate of convergence of a demixing …matrix in ICA. However, the PSO converges prematurely, and the population diversity is reduced rapidly, so that the optimal solution falls into the local optimum. In order to increase the diversity of PSO, GPSO-based ICA algorithm (GPSO-ICA) is proposed that has the exploring ability of GSA, so that the ICA algorithm has a higher convergence rate and better ability to escape local optimization. A series of comparisons is implemented for the ICA algorithms based on PSO, GSA, and GPSO. The results show that GPSO-ICA has better performance than the other methods. Show more

Keywords: Blind source separation, Independent Component Analysis, Particle Swarm Optimization, Gravitation Searching Algorithm

DOI: 10.3233/JIFS-171545

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 1943-1957, 2018

Authors: Xuan Thao, Nguyen

Article Type: Research Article

Abstract: In this paper, we propose a new correlation coefficient between intuitionistic fuzzy sets. We then use this new result to compute some examples through which we find that it benefits from such an outcome with some well-known results in the literature. As in statistics with real variables, we refer to variance and covariance between two intuitionistic fuzzy sets. Then, we determined the formula for calculating the correlation coefficient based on the variance and covariance of the intuitionistic fuzzy set, the value of this correlation coefficient is in [−1,1]. Then, we develop this direction to build correlation coefficients between the interval-valued …intuitionistic fuzzy sets and apply it in the pattern recognition problem. Show more

Keywords: Intuitionistic fuzzy set, interval – valued intuitionistic fuzzy set, variance, covariance, correlation coefficient

DOI: 10.3233/JIFS-171589

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 1959-1968, 2018

Authors: Zhou, Zhiheng | Dai, Yukun | Li, Weisheng

Article Type: Research Article

Abstract: This paper proposes global template dynamic time warping (GTDTW) algorithm for gesture recognition with the wearable gloves. The method is applied to both isolated and continuous gesture recognition. A gesture segmentation system based on GTDTW is also proposed for continuous gesture recognition. The global template is obtained based on statistical methods. For a defined gesture, states which have a large proportion are selected as important states. They form the global template for the defined gesture. Global template more fully expresses the characteristics of the defined gesture which can improve gesture recognition rate. Global template also has a smaller length than …normal template of Dynamic Time Warping (DTW) so that time consumption of GTDTW is low and gesture recognition system has a better real-time performance. Experimental evaluations on both isolated and continuous gesture recognition show the effectiveness of the proposed method. The time consumption is obviously reduced and recognition rate is improved that up to 98.8% for isolated gesture recognition. For continuous gesture recognition, the proposed method has high segmentation rate and recognition rate is up to 95.6%. Show more

Keywords: Global template, dynamic time warping, wearable gloves, isolated gesture recognition, continuous gesture recognition

DOI: 10.3233/JIFS-171618

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 1969-1978, 2018

Authors: Jiang, Shengtao | Mu, Xuewen | Cheng, Huan | Song, Qiyue

Article Type: Research Article

Abstract: A generalized fuzzy entropy based on double adaptive ant colony algorithm for image thresholding segmentation is proposed. The new algorithm first attempts to propose the adaptive pheromone concentration at the initial time and the adaptive global updating rules, which uses the double adaptive mechanism to automatically select the generalized fuzzy entropy parameters. The threshold of the image is obtained by introducing the parameters into the complement of the generalized fuzzy entropy, and then the optimal segmentation of the image is obtained. Compared with the existing image thresholding segmentation algorithms, in most cases, simulating results indicate that the new algorithm has …less background information and clearer target information. In addition, it is superior to the existing algorithms in performance and greatly improves the stability and convergence speed. Show more

Keywords: Generalized fuzzy entropy, image thresholding segmentation, double adaptive, ant colony algorithm

DOI: 10.3233/JIFS-171643

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 1979-1990, 2018

Authors: Kar, Mouhya B. | Kundu, Pradip | Kar, Samarjit | Pal, Tandra

Article Type: Research Article

Abstract: Generally, in transportation problem, full vehicles (e.g., light commercial vehicles, medium duty and heavy duty trucks, etc.) are to be booked, and transportation cost of a vehicle has to be paid irrespective of the fulfilment of the capacity of the vehicle. Besides the transportation cost, total time that includes travel time of a vehicle, loading and unloading times of products is also an important issue. Also, instead of a single item, different types of items may need to be transported from some sources to destinations through different types of conveyances. The optimal transportation policy may be affected by many other …issues like volume and weight of per unit of product, unavailability of sufficient number of certain types of vehicles, etc. In this paper, we formulate a multi-objective multi-item solid transportation problem by addressing all these issues. The problem is formulated with the transportation cost and time parameters as fuzzy variables. Using credibility theory of fuzzy variables, a chance-constraint programming model is formulated, and is then transformed into the corresponding deterministic form. Finally numerical example is provided to illustrate the problem. Show more

Keywords: Solid transportation problem, fuzzy variable, credibility theory, chance-constrained programming

DOI: 10.3233/JIFS-171717

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 1991-1999, 2018

Authors: Wei, G. | Wei, Y.

Article Type: Research Article

Abstract: In this paper, we utilize prioritized aggregation operators to develop some single-valued neutrosophic Dombi prioritized aggregation operators: single-valued neutrosophic Dombi prioritized average (SVNDPA) operator, single-valued neutrosophic Dombi rioritized geometric (SVNDPG) operator, single-valued neutrosophic Dombi prioritized weighted average (SVNDPWA) operator and single-valued neutrosophic Dombi prioritized weighted geometric (SVNDPWG) operator. The prominent characteristic of these proposed operators are studied. Then, we have utilized the SVNDPWA and SVNDPWG operators to develop some approaches to solve the single-valued neutrosophic multiple attribute decision making problems. Finally, a practical example about talent introduction is given to verify the developed approach and to demonstrate its practicality and …effectiveness. Show more

Keywords: Multiple attribute decision making (MADM), single-valued neutrosophic numbers, single-valued neutrosophicDombi prioritized weighted average (SVNDPWA) operator, single-valued neutrosophic Dombi prioritized weightedgeometric (SVNDPWG) operator

DOI: 10.3233/JIFS-171741

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 2001-2013, 2018

Authors: Attari, Mahdi Yousefi Nejad | Jami, Ensiyeh Neishabouri

Article Type: Research Article

Abstract: Blood transfusion services are a vital section component of the healthcare system all over the world. Literature on studying and modeling of these systems is surprisingly sparse. In this paper, we expand a generalized network optimization model for the complex supply chain of blood, which is a regionalized blood bank system. In this paper; the purpose of blood is red blood cells (RBC). This system consists of collection sites, testing and processing facilities, storage facilities, distribution centers, as well as points of demand, which are classically, include hospitals. Our major contribution is to develop a novel Hybrid stochastic programming, multi-choice …goal programming and robust optimization (SMCGR) approaches to simultaneously model two different types of uncertainties by including stochastic scenarios for total blood donations and polyhedral uncertainty sets for demands. Real numerical studies are implemented to verify our mathematical formulation and also show the benefits of the SMCGR approach. The performance improvements achieved by the valid inequalities and Pareto-optimal cuts are demonstrated in real world application. Show more

Keywords: Blood supply chain, multi-choice goal programming uncertainty condition, robust optimization

DOI: 10.3233/JIFS-17179

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 2015-2033, 2018

Authors: Li, Li | Zhang, Runtong | Wang, Jun | Zhu, Xiaomin | Xing, Yuping

Article Type: Research Article

Abstract: The sum of membership and non-membership degrees of the Pythagorean fuzzy set is greater than one with their square sum less than or equal to one. Thus, as an extension of intuitionistic fuzzy set, the Pythagorean fuzzy set is a powerful tool to describe fuzziness and uncertainty. The aim of this study is to introduce some new operators for aggregating Pythagorean fuzzy information and apply them to multi-attribute decision making. Considering the advantages of the power average operator and Muirhead mean, we introduce the power Muirhead mean operator and investigate it under Pythagorean fuzzy environment. Thus, some new Pythagorean fuzzy …aggregation operators, such as the Pythagorean fuzzy power Muirhead mean and the weighted Pythagorean fuzzy power Muirhead mean are developed. The prominent advantage of these proposed operators is that they consider the relationships between fused data and the interrelationships between all aggregated values, thereby obtaining more information in the process of multi-attribute decision making. Furthermore, we introduce a novel approach to multi-attribute decision-making problems based on the proposed operators. Finally, we provide a numerical example to illustrate the validity of the proposed approach. Show more

Keywords: Pythagorean fuzzy set, multi-attribute decision making, aggregation operators, power Muirhead mean

DOI: 10.3233/JIFS-171907

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 2035-2050, 2018

Authors: Zhou, Haisheng | Qu, Guohua | Zou, Yong | Liu, Zengliang | Li, Chunhua | Yan, Xuxian

Article Type: Research Article

Abstract: An intuitionistic fuzzy set (IFS) consists of two parts, the membership function and non-membership function which is a generalized form of a fuzzy set (FS), supporting a more exemplary and flexible access to assign values for each element in the domain. Intuitionistic fuzzy correlation coefficient between variables plays a significant role in a variety of areas. In the present paper, we use the Choquet integral and Shapley index to propose intuitionistic fuzzy Shapley Choquet integral correlation coefficient as a new extension of existing correlation coefficient for intuitionistic fuzzy correlation coefficient. Then, an evaluation formula of intuitionistic fuzzy Shapley Choquet integral …correlation coefficient between an alternative and the ideal alternative is proposed. The considered alternatives can be ranked and the most desirable one is selected as well. Finally, we present a comparative analysis of the three methods in green sustainable supply chain choice to show the effectiveness of the developed methods. Show more

Keywords: Intuitionistic fuzzy Shapley Choquet integral correlation coefficient, intuitionistic fuzzy sets, Shapley fuzzy measure, multiple criteria decision making

DOI: 10.3233/JIFS-171914

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 2051-2062, 2018