Journal of Intelligent & Fuzzy Systems - Volume 37, issue 2

Authors: Jafarzadeh Ghoushchi, Saeid | Khazaeili, Mohammad | Amini, Amir | Osgooei, Elnaz

Article Type: Research Article

Abstract: Substantial improvements are being every day made in decisions quality by introducing new Multi Criteria Decision Making (MCDM) methods. Due to the ambiguity in decision data, obtaining the real value of the criteria for modeling multi criteria decision making problems is very important. On the other hand, the challenges associated with the selection of sustainable suppliers will make managers and experts to develop and improve new decision-making methods to solve these challenges. Therefore, fuzzy best-worst method (FBWM) is used to weigh supplier selection criteria and then piecewise linear values function is used to rank suppliers in this paper. The proposed …method addressed the problem of sustainable supplier selection in the oilseed industry as a case study in food supply chain. The findings of the suggested methodology showed that although the results of applying exponential and piecewise linear value function are somehow close to each other, compared with simple integrated functions using appropriate value functions can produce more reliable results and have a great impact on the performance of MCDM problems. Show more

Keywords: Multi- criteria decision making, sustainable supplier selection, oilseed industry, piecewise linear value function, fuzzy set theory, best-worst method

DOI: 10.3233/JIFS-182609

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2309-2325, 2019

Authors: Sukanya, A. | Rajeswari, R.

Article Type: Research Article

Abstract: This paper describes a method to extract the cardiac vessels in coronary angiography images. The cardiac vessel extraction technique is a significant process in clinical scenario for cardiac image analysis of Coronary Computed Tomography Angiography (CCTA) datasets. CCTA is a speedy growing non-invasive cardiac imaging modality that provides vital diagnostic information for the cardiac disease diagnosis. Since cardiac vessel extraction for CTA images is a prime issue in computer-aided medical diagnosis, algorithms or systems for vessel detection are always demanded. In order to support computer-aided diagnosis, a modified Frangi’s vesselness measure based on gradient and grayscale measure of the cardiac …images is proposed in this work. The experimental result shows that the proposed method can effectively enhance vascular structures and suppress the pseudo vascular structures. It eliminates the background noise and helps in separation of neighboring vessels. The proposed vesselness measure were statistically analyzed by analysis of variance (i.e) one-way ANOVA. The statistical analysis also proves that the proposed vesselness measure based on gradient and grayness values extracts the vessel segments more effectively from the background. Hence the method detects the cardiac vessels more effectively by incorporating the fact that the gradient and grayscale values are comparatively different inside and outside the cardiac vessels. The proposed method has been evaluated on 3D CCTA images and the results are promising. Show more

Keywords: Computed Tomography Angiography (CTA), coronary artery, vesselness measure

DOI: 10.3233/JIFS-182613

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2327-2336, 2019

Authors: Ye, Fei-Fei | Yang, Long-Hao | Wang, Ying-Ming

Article Type: Research Article

Abstract: Environmental governance cost prediction is an essential process in environmental protection. However, the existing environmental governance cost prediction methods are facing two challenges: First, the principal components of environmental indicator information must be accurately extracted without considering the independence of environmental indicators. Second, the higher interpretability and the lower complexity must be taken into account with the desired accuracy for improving the cost prediction of environmental governance. Therefore, the fuzzy rule based system (FRBS) and feature extraction are introduced to propose a new environmental governance cost prediction method, named FRBS-FE, in which the feature extraction is used to extract the …principal components of environmental indicator information firstly, and then all these principal components are applied to generate a FRBS-FE for better environmental governance cost prediction. A case study involving 29 provinces of China is carried out to demonstrate the effectiveness of the FRBS-FE. The results showed that the FRBS-FE not only can accurately predict different kinds of environmental governance costs, but also have superior performance in comparison with previous cost prediction methods. Show more

Keywords: Fuzzy rule based system, feature extraction, environmental governance, cost prediction

DOI: 10.3233/JIFS-182628

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2337-2349, 2019

Authors: Khare, Saurabh | Kaushik, Praveen

Article Type: Research Article

Abstract: Denoising of medical image modalities is one among the foremost basic issues in medical image process. Medical modalities such as ultrasound images suffer from multiplicative speckle noise. This noise consequently reduces the contrast of ultrasound images and adversely affects the other medical image processing tasks such as medical image registration, image super-resolution, and image segmentation. Therefore, one of the important objectives of any denoising algorithm is to attenuate the speckle noise effectively and also preserve the significant medical details in the denoised image. The main focus of this paper is the reduction of speckle noise for ultrasound images using various …similarity measures in non-local framework. Through exhaustive experiments conducted on real ultrasound images, B-mode and simulated synthetic images demonstrate that, the Square chord and Chi-square distance-based similarity measures are the most effective similarity measure used in non-local framework for denoising of ultrasound images. Show more

Keywords: Image denoising, speckle noise, non-local means, edge preservation

DOI: 10.3233/JIFS-182632

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2351-2366, 2019

Authors: Xu, Jianzhong | Yan, Fu | Grace Ala, Oluwafolakemi | Su, Lifei | Li, Fengshu

Article Type: Research Article

Abstract: The grey wolf optimizer (GWO) algorithm is a recently proposed optimization technique based on the social leadership and hunting behavior of grey wolves in nature. Due to its small number of control parameters, ease of implementation and high level of exploration and exploitation, the GWO has attracted the interest of researchers from different fields. However, the GWO has problems with its position-updated equation, which is good for exploitation but not conducive to exploration because it can prematurely convergence to local optima. To overcome this drawback, a chaotic dynamic weight grey wolf optimizer (CDGWO) is proposed. In the CDGWO algorithm, a …new position-updated equation is presented by applying a chaotic map and dynamic weight to guide the search process for potential candidate solutions. In addition, a nonlinear control parameter strategy is designed to balance the exploration and exploitation and accelerate the convergence speed of the GWO algorithm. The search accuracy and performance of the modified position-updated equation and the nonlinear control parameter strategy are verified using 19 well-known classical benchmark functions. The experimental results show that, for almost all benchmark functions, the CDGWO algorithm gives competitive results in terms of convergence, solution quality and local optimal avoidance compared with other nature-inspired optimizations and GWO variants. Show more

Keywords: Grey wolf optimizer, chaos theory, nonlinear control parameters, global optimization

DOI: 10.3233/JIFS-182706

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2367-2384, 2019

Authors: Chen, Mingzhou | Zhang, Shuai | Zhang, Wenyu | Lin, Jian

Article Type: Research Article

Abstract: Horizontal cooperation in logistics refers to several logistics service providers cooperating to accomplish common goals, which usually involves a collaborative vehicle routing problem. In this paper, we present a new collaborative vehicle routing problem with rough location (CVRPRL), which considers both the security of sharing detailed customer information and the configuration of shared resource. We utilize the rough location of the customer to replace the detailed customer location and introduce the concept of collaborative logistics sharing degree in the CVRPRL model. Subsequently, the cost allocation mechanism is designed based on an extended Shapley value, which allocates fixed costs and risks …in different ways. Further, an extended ant colony optimization (EACO) algorithm is proposed to solve the CVRPRL. The EACO algorithm combines both large neighborhood search and local search strategies. Finally, we perform a series of simulation experiments to verify the effectiveness of EACO compared with other meta-heuristic algorithms. Show more

Keywords: Collaborative vehicle routing problem, rough location, extended shapley value, extended ant colony optimization

DOI: 10.3233/JIFS-182715

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2385-2402, 2019

Authors: Luo, Minxia | Wu, Lixian | Zhou, Kaiyan | Zhang, Huarong

Article Type: Research Article

Abstract: In this paper, a new tangent similarity between single valued neutrosophic sets is given, which contain tangent similarity [23 ] as a special case. A best-worst multi-criteria decision making method based on the single valued neutrosophic sets is proposed. To achieve this goal, we design an algorithm to identify the best and worst criteria through computing the out-degrees and in-degrees of the collective single valued neutrosophic preference relation directed network, and then calculate the optimal weight vector of attributes. Moreover, a mathematical model corresponding to the definitions of consistent single valued neutrosophic preference relation is contracted. Finaly, the evaluation values …of all alternatives are calculated by the proposed new tangent similarity. This approach can make the process of decision making more vivid, intuitive and dynamic in the decision-making process. To illustrate the effectiveness of the proposed method, we used it to solve appointment registration systems problems. Show more

Keywords: Single Valued Neutrosophic Set, Multi-criteria Decision-making, Consistency Ratio, similarity

DOI: 10.3233/JIFS-182723

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2403-2417, 2019

Authors: Liu, Qi | Shi, Fu-Gui

Article Type: Research Article

Abstract: In this paper we propose a new approach to the fuzzification of lattices, which is defined from the view of algebraic structure. It is also called an M -hazy lattice. Some properties of M -hazy semilattices and M -hazy lattices are discussed. Besides, we also discuss its relations with M -fuzzifying interval spaces and M -fuzzifying convex spaces.

Keywords: M-fuzzy poset, M-hazy semilattice, M-hazy lattice, M-fuzzifying convexity space

DOI: 10.3233/JIFS-182725

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2419-2433, 2019

Authors: Ghosh, Sumonta | Rashmanlou, Hossein | Mofidnakhaei, F. | Pal, Anita

Article Type: Research Article

Abstract:  Apart from other labeling signed product and total signed product labeling already have been applied on different kind of graphs. Signed product cordial labeling for the graph G  = (V , E ), where each vertex is labelled by 1 or -1 and edge label is induced by multiplication of two of it end vertices with the following restriction that the absolute difference between total number of vertices labelled by 1 and -1 is at most 1, similarly for the edges also. Total signed product cordial labeling follows property that absolute difference between total number of vertices and edges labelled by …-1 and total number of vertices and edges labelled by 1 is at most 1. In this paper, we have considered Cartesian product between two balanced bipartite graphs and apply above labeling on it. We have designed some suitable algorithms which will driven by any kind of computer programming language. Illustration with example and complexity of the algorithms are analysed successfully. Show more

Keywords: Cartesian product, Signed product cordial labeling, Total signed product cordial labeling, complete bipartite graph

DOI: 10.3233/JIFS-182746

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2435-2442, 2019

Authors: Fan, Jianping | Liu, Xiaona | Wu, Meiqin | Wang, Zhan

Article Type: Research Article

Abstract: With the enhancement of the global environmental awareness, green supplier selection is playing an increasingly important role in the development of enterprises. Green supplier evaluation criteria include quantitative and qualitative criteria. Due to the complexity and ambiguity of actual decision making problems, and the subjectivity of decision makers (DMs), it is difficult to describe qualitative criteria with precise data. In this paper, Pythagorean fuzzy numbers (PFNs) are used to describe the qualitative criteria, then a data envelopment analysis (DEA) model with undesirable outputs under Pythagorean fuzzy environment is developed. Finally, a numerical example ahout green supplier selection is provided to …demonstrate the usefulness of the proposed method. Show more

Keywords: DEA, Pythagorean fuzzy set, undesirable outputs, green supplier selection

DOI: 10.3233/JIFS-182747

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2443-2452, 2019