Journal of Intelligent & Fuzzy Systems - Volume 40, issue 6

Authors: Chou, ShuoYan | Duong, Truong Thi Thuy | Thao, Nguyen Xuan

Article Type: Research Article

Abstract: Energy plays a central part in economic development, yet alongside fossil fuels bring vast environmental impact. In recent years, renewable energy has gradually become a viable source for clean energy to alleviate and decouple with a negative connotation. Different types of renewable energy are not without trade-offs beyond costs and performance. Multiple-criteria decision-making (MCDM) has become one of the most prominent tools in making decisions with multiple conflicting criteria existing in many complex real-world problems. Information obtained for decision making may be ambiguous or uncertain. Neutrosophic is an extension of fuzzy set types with three membership functions: truth membership function, …falsity membership function and indeterminacy membership function. It is a useful tool when dealing with uncertainty issues. Entropy measures the uncertainty of information under neutrosophic circumstances which can be used to identify the weights of criteria in MCDM model. Meanwhile, the dissimilarity measure is useful in dealing with the ranking of alternatives in term of distance. This article proposes to build a new entropy and dissimilarity measure as well as to construct a novel MCDM model based on them to improve the inclusiveness of the perspectives for decision making. In this paper, we also give out a case study of using this model through the process of a renewable energy selection scenario in Taiwan performed and assessed. Show more

Keywords: Dissimilarity measure, renewable energy, interval neutrosophic set

DOI: 10.3233/JIFS-202571

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 11375-11392, 2021

Authors: Zhang, Chengling | Li, Jinjin | Lin, Yidong

Article Type: Research Article

Abstract: Three-way concept analysis is a mathematical model of the combination of formal concept analysis and three-way decision, and knowledge discovery plays a significant impact on formal fuzzy contexts since such datasets are frequently encountered in real life. In this paper, a novel type of one-sided fuzzy three-way concept lattices is presented in a given formal fuzzy context with its complement, in which a ternary classification is available. In such case, we comprehensively explore the connections between the proposed models and classical fuzzy concept lattices among elements, sets, and orders. Furthermore, approaches to granular matrix-based reductions are investigated, by which granular …consistent sets, and granular reducts via discernibility Boolean matrices are tectonically put forward. At last, the demonstrated results are performed by several experiments which enrich the research of three-way concept analysis. Show more

Keywords: Formal fuzzy contexts, granular reduction, one-sided fuzzy concept lattices, three-way decision

DOI: 10.3233/JIFS-202573

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 11393-11410, 2021

Authors: Malini, A. | Priyadharshini, P. | Sabeena, S.

Article Type: Research Article

Abstract: To develop a surveillance and detection system for automating the process of road maintenance work which is being carried out by surveying and inspection of roads manually in the current situation. The need of the system lies in the fact that traditional methods are time-consuming, tiresome and require huge workforce. This paper proposes an automation system using Unmanned Aerial Vehicle which monitors and detects the pavement defects like cracks and potholes by processing real-time video footage of Indian highways. The collected data is processed and stored as images in a road defects database which serves as input for the system. …The behavior of Region Proposal Network (RPN) is made smooth by varying the number of region proposals utilized in the model. A regularization technique called dropout is used to achieve higher performance in the proposed Faster Region based Convolutional Neural Networks object detection model. The detections are made with 62.3% mean Average Precision @ Intersection over Union (IoU)> = 0.5 for the generation of 300 region proposals which is a good score for object detections. The comparisons between proposed and existing systems shows that the proposed Faster RCNN with modified VGG-16 performs well than the existing variants. Show more

Keywords: pothole, region proposal network, mean average precision, unmanned aerial vehicle, dropout

DOI: 10.3233/JIFS-202596

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 11411-11422, 2021

Authors: Liu, Hui | He, Boxia | He, Yong | Tao, Xiaotian

Article Type: Research Article

Abstract: The existing seal ring surface defect detection methods for aerospace applications have the problems of low detection efficiency, strong specificity, large fine-grained classification errors, and unstable detection results. Considering these problems, a fine-grained seal ring surface defect detection algorithm for aerospace applications is proposed. Based on analysis of the stacking process of standard convolution, heat maps of original pixels in the receptive field participating in the convolution operation are quantified and generated. According to the generated heat map, the feature extraction optimization method of convolution combinations with different dilation rates is proposed, and an efficient convolution feature extraction network containing …three kinds of dilated convolutions is designed. Combined with the O-ring surface defect features, a multiscale defect detection network is designed. Before the head of multiscale classification and position regression, feature fusion tree modules are added to ensure the reuse and compression of the responsive features of different receptive fields on the same scale feature maps. Experimental results show that on the O-rings-3000 testing dataset, the mean condition accuracy of the proposed algorithm reaches 95.10% for 5 types of surface defects of aerospace O-rings. Compared with RefineDet, the mean condition accuracy of the proposed algorithm is only reduced by 1.79%, while the parameters and FLOPs are reduced by 35.29% and 64.90%, respectively. Moreover, the proposed algorithm has good adaptability to image blur and light changes caused by the cutting of imaging hardware, thus saving the cost. Show more

Keywords: Deep learning, feature extraction network, lightweight algorithm, multiscale classification, surface defect detection, O-rings

DOI: 10.3233/JIFS-202614

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 11423-11440, 2021

Authors: Naderi, Katayoun | Ahari, Roya M. | Jouzdani, Javid | Amindoust, Atefeh

Article Type: Research Article

Abstract: Fierce competition in the global markets forced companies to improve the design and management of supply chains, because companies are always looking for more profit and higher customer satisfaction. The emergence of the green supply chain is one of the most important developments of the last decade. It provides an opportunity for companies to adjust their supply chains according to environmental goals and sustainability. The integrated production-inventory-routing is a new field that aims to optimize these three decision-making levels. It can be described as follow: a factory produces one or more products, and sells them to several customers (by direct …delivery or a specific customer chain). The current study aims to model a production-inventory-routing system using a system dynamics approach to design a green supply chain under uncertain conditions. For this purpose, first, the association between selected variables was determined. Then, the proposed model was validated. Finally, to identify variables with the highest influence, four scenarios were developed. The results indicated that minimum total transportation cost, the total warehouse capacity of the supply chain, and the maximum production rate are the most influential strategies to achieve ideal condition. Show more

Keywords: System dynamics, integrated production-inventory-routing problem, green supply chain, uncertainty

DOI: 10.3233/JIFS-202622

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 11441-11454, 2021

Authors: Yao, Wei | Chen, Ye

Article Type: Research Article

Abstract: The arity of convex spaces is a numerical feature which shows the ability of finite subsets spanning to the whole space via the hull operators. This paper gives it a formal and strict definition by introducing the truncation of convex spaces. The relations that between the arity of quotient spaces and the original spaces, that between the arity of subspaces and superspaces, that between the arity of product spaces and factors spaces, and that between the arity of disjoint sums and term spaces, are systematically studied. A mistake of a formula in [M. Van De Vel, Theory of Convex Structures, …North-Holland, Amsterdam, 1993] is corrected. It is shown that a convex space is Alexandrov iff its arity is 1. The convex structures with arity ≤n are equivalent to structured sets with n -restricted hull operators. Show more

Keywords: convex space, arity, product space, disjoint sum, n-restricted hull operator

DOI: 10.3233/JIFS-202643

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 11455-11462, 2021

Authors: Saravana Kumar, P. | Vasuki, S.

Article Type: Research Article

Abstract: In chromosome analysis, centromere is an essential component. By analyzing centromere, genetic disorder can be identified easily. In this paper, automatic classification and centromere detection in human chromosome image using Band Distance Feature is proposed. Initially the microscopic image of G-band chromosome is preprocessed in order to remove the blobs. Then, the image is segmented using labelling algorithm and the endpoints are calculated. Now, the overlapping chromosomes are removed when the number of end points is greater than two. The non-overlapped chromosomes are straightened using Reversible Projection algorithm. From the straightened chromosome band distance feature is calculated. The extracted features …are given to the ANN classifier to identify the class of chromosome and to calculate the centromere. From the experimental results, it is observed that the proposed method is superior to the traditional method. Show more

Keywords: Artificial neural networks, chromosome classification, labeling algorithm, straightening algorithm

DOI: 10.3233/JIFS-202682

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 11463-11474, 2021

Authors: Hadi, Sarem H. | Madhi, Zainab S. | Park, Choonkil

Article Type: Research Article

Abstract: The purpose of this study is to introduce a new concept of the modular space, which is C Ω -modular space, and then some of the convex properties are discussed. We also study finding fixed-point in C Ω -modular space.

Keywords: CΩ-modular space, 𝒢-convergence, 𝒢-Cauchy sequence, fixed-point in CΩ-modular space

DOI: 10.3233/JIFS-202698

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 11475-11478, 2021

Authors: Naeem, Muhammad | Khan, Muhammad Ali | Abdullah, Saleem | Qiyas, Muhammad | Khan, Saifullah

Article Type: Research Article

Abstract: Probabilistic hesitant fuzzy Set (PHFs) is the most powerful and comprehensive idea to support more complexity than developed fuzzy set (FS) frameworks. In this paper a novel and improved TOPSIS-based method for multi-criteria group decision making (MCGDM) is explained through the probabilistic hesitant fuzzy environment, in which the weights of both experts and criteria are completely unknown. Firstly, we discuss the concept of PHFs, score functions and the basic operating laws of PHFs. In fact, to compute the unknown weight information, the generalized distance measure for PHFs was defined based on the Probabilistic hesitant fuzzy entropy measure. Second, MCGDM will …be presented with the PHF information-based decision-making process. Show more

Keywords: Probabilistic hesitant fuzzy Set, extended TOPSIS method, application in decision making

DOI: 10.3233/JIFS-202700

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 11479-11490, 2021

Authors: Jia, Xiang | Wang, Xinfan | Zhu, Yuanfang | Zhou, Lang | Zhou, Huan

Article Type: Research Article

Abstract: This study proposes a two-sided matching decision-making (TSMDM) approach by combining the regret theory under the intuitionistic fuzzy environment. At first, according to the Hamming distance of intuitionistic fuzzy sets and regret theory, superior and inferior flows are defined to describe the comparative preference of subjects. Hereafter, the satisfaction degrees are obtained by integrating the superior and inferior flows of the subjects. The comprehensive satisfaction degrees are calculated by aggregating the satisfaction degrees, based on which, a multi-objective TSMDM model is built. Furthermore, the multi-objective TSMDM model is converted to a single-objective model, the optimal solution of the latter is …derived. Finally, an illustrative example and several analyses are provided to verify the feasibility and the effectiveness of the proposed approach. Show more

Keywords: Multi-criteria decision-making, intuitionistic fuzzy sets, regret theory, two-sided matching, optimal model

DOI: 10.3233/JIFS-202720

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 11491-11508, 2021