Journal of Intelligent & Fuzzy Systems - Volume 37, issue 3

Authors: Chen, Jin | Meng, Sun | Zhou, Wei

Article Type: Research Article

Abstract: In today’s society, many decision-making problems cannot be merely solved based on quantitative data. Even though some issues are able to be addressed by quantitative data, researchers may face the difficulty of obtaining accurate and sufficient numbers. Some qualitative evaluations given by experts or decision makers are usually linguistic expressions. Therefore, fuzzy linguistic research has been broadly studied to address the above issues. This research has also been attracting increasing attention from researchers and decision makers in the world. It is believed that analyzing the status quo and emerging trends in this research area is of great necessity, especially for …the beginners who are interested in fuzzy linguistic research. To do so, this paper provides the mapping knowledge domain of fuzzy linguistic research based on 648 papers on Web of Science from 1975 to 2018 by using CiteSpace which is an effective tool for scientometric studies. The visualization analyses of cited reference clusters, collaborations networks, author co-citation networks, burst detection and time zone view are presented in this study to show the research streams and the papers that made significant theoretical contributions. Also, the active counties, institutions, journals and authors in this research area are analyzed in detail. Besides, the specific hot spots and emerging trends can be known. There are two contributions in this study. Firstly, we give a comprehensive investigation about the status quo and emerging trends of fuzzy linguistic research in the recent 43 years. Secondly, we make the development of fuzzy linguistic research easier and direct to learn for beginners. Show more

Keywords: Fuzzy logic, linguistics, decision making, CiteSpace, scientometric

DOI: 10.3233/JIFS-182737

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3655-3669, 2019

Authors: Riaz, Muhammad | Hashmi, Masooma Raza

Article Type: Research Article

Abstract: In multi-attribute group decision-making (MAGDM) problems, there exist some multi-polarity for the attributes and criteria. Sometimes in real life situations, we deal with the both membership and non-membership grades for the attributes in the presence of multi-polarity. For this purpose, we change verbally stated information into mathematical language with the help of uncertain linguistic variables to deal with the ambiguities and uncertainties. In that case, we construct some extensions from the existing hybrid structures of fuzzy set to handle these types of problems. That’s why from the prevailing concepts of cubic set and m-polar fuzzy set, we innovate the concept …of cubic m-polar fuzzy set (CMPFS). We investigate its numerous operations with the help of examples. With the enthusiasm of CMPFS, we establish certain aggregation operators based on cubic m-polar fuzzy numbers (CMPFNs) namely Cubic m-polar fuzzy weighted averaging (CMPFWA), Cubic m-polar fuzzy ordered weighted averaging (CMPFOWA) and Cubic m-polar fuzzy hybrid averaging (CMPFHA) operators corresponding to R -order and P -order, simultaneously. Using the score function and accuracy function a relation is proposed, through which we can compare the CMPFNs. This manuscript presents a novel approach for treating ambiguities based on the application of land selection using linguistic variables in CMPF decision theory. An algorithm based on MAGDM is intended for a given agricultural project, which will produce results according to the proposed operators one by one. Furthermore, a comparative analysis is listed to demonstrate the difference, advantages, validity, simplicity, flexibility and superiority to the proposed operators. Show more

Keywords: Cubic m-polar fuzzy set (CMPFS), membership degrees, Cubic m-polar fuzzy weighted averaging (CMPFWA) operator, Cubic m-polar fuzzy ordered weighted averaging (CMPFOWA) operator and Cubic m-polar fuzzy hybrid averaging (CMPFHA) operator, MAGDM for agricultural purpose

DOI: 10.3233/JIFS-182809

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3671-3691, 2019

Authors: Mougouei, Davoud | Powers, David M.W.

Article Type: Research Article

Abstract: Software Release Planning (SRP) is to find, for a software, a subset of the requirements with the highest value while respecting the budget. The value of a requirement however may, to various degrees, depend on selecting or ignoring other requirements. However, existing SRP models ignore either Value-Related Dependencies altogether or the strengths of those dependencies even if they consider them. This paper presents an Integer Programming model for software release planning, which considers the variances of strengths of positive and negative value-related dependencies among software requirements. To capture the imprecision associated with strengths of value-related dependencies we …have made use of algebraic structure of fuzzy graphs. We have further, contributed a scalable technique for automated identification of value-related dependencies based on user preferences for software requirements. The validity of the work is verified through simulations. Show more

Keywords: Fuzzy Graphs, Integer Programming, Value-Related Dependencies, Release Planning

DOI: 10.3233/JIFS-182810

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3693-3707, 2019

Authors: Chen, Yingyue | Chen, Yumin | Yin, Aimin

Article Type: Research Article

Abstract: Feature extraction for blind image steganalysis produces much features or high dimensional data, which bring about time consuming and even a low detection percentage. As being one of the most important phases of preprocessing, feature selection can reduce these extracted features, and improve the performance of steganalysis. Firstly, we introduce the Neighborhood Rough Sets (NRS) to the field of blind image steganalysis. Then, some concepts of feature significance and feature reduct are presented based on NRS. Furthermore, we propose a Feature Selection approach by NRS for blind image steganalysis (FSNRS). The FSNRS has the ability to delete redundant features, meanwhile …maintaining the classification accuracy of a steganalysis system. The FSNRS is a filter feature selection technique for blind image steganalysis, which filtrates extracted features depending on a positive region preserving in NRS. The compact feature subset with a shortest feature dimension for blind image steganalysis is selected. Moreover, some experiments for blind steganalysis using SVM and KNN classifiers on selected feature subset are carried out. The experimental results show that our proposed approach can obtain compact features for blind image steganalysis and the performances of classifiers on those selected features are improved. Since the FSNRS is used with an adjustable neighborhood parameter, as a result, the classification performance of selected features is better than that of original whole features in most cases. Show more

Keywords: Image steganalysis, blind steganalysis, feature selection, neighborhood rough sets, rough sets

DOI: 10.3233/JIFS-182836

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3709-3720, 2019

Authors: Rahman, Khaista | Abdullah, Saleem | Ghani, Fazal

Article Type: Research Article

Abstract: The concept of interval-valued Pythagorean fuzzy (IVPF) sets is capable of handling imprecise and ambiguous information and managing complex uncertainty in real-world applications. The focus of our this paper is to introduce some generalized operators, such as the generalized interval-valued Pythagorean fuzzy Einstein weighted averaging (abbreviated as GIVPFEWA) operator, the generalized interval-valued Pythagorean fuzzy Einstein ordered weighted averaging (abbreviated as GIVPFEOWA) operator, and the generalized interval-valued Pythagorean fuzzy Einstein hybrid averaging (abbreviated as GIVPFEHA) operator along with their some general properties, such as idempotency, commutativity, monotonicity and boundedness. Furthermore, the method for multiple attribute group decision making problems based on …these operators was developed, and the operational processes were illustrated in detail. The main advantage of using the proposed methods and operators is that these operators and methods give a more complete view of the problem to the decision makers. These methods provide more general, more accurate and precise results as compared to the existing methods. Therefore these methods play a vital role in real world problems. Finally the proposed operators have been applied to decision-making problems to show the validity, practicality and effectiveness of the new approach. A systematic comparison between the existing work and the proposed work also has been given. Show more

Keywords: GIVPFEWA operator, GIVPFEOWA operator, GIVPFEHA operator, Group decision-making

DOI: 10.3233/JIFS-182951

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3721-3742, 2019

Authors: Rashmanlou, Hossein | Pal, Madhumangal | Raut, Sreenanda | Mofidnakhaei, F. | Sarkar, Biswajit

Article Type: Research Article

Abstract: Theoretical concepts of graphs are highly utilized by computer science applications. Especially in research areas of computer science such as data mining, image segmentation, clustering, image capturing and networking. The intuitionistic fuzzy graphs are more flexible and compatible than fuzzy graphs due to the fact that they have many applications in networks. The main purpose of this paper is to introduce some connectivity concepts in the intuitionistic fuzzy graphs. Analogous to fuzzy cutvertices and fuzzy bridges in fuzzy graphs, intuitionistic fuzzy cutvertices and intuitionistic fuzzy bridges are introduced and characterized. We also proposed the concept of gain and loss for …paths and pairs of vertices. Finally, we give an application of intuitionistic fuzzy digraphs. Show more

Keywords: Intuitionistic fuzzy digraph, gain, loss, intuitionistic fuzzy cutvertices, intuitionistic fuzzy bridge

DOI: 10.3233/JIFS-182961

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3743-3749, 2019

Authors: Wang, Lan | Pang, Bin

Article Type: Research Article

Abstract: In this paper, we mainly focus on the relationship between (L , M )-fuzzy closure systems and (L , M )-fuzzy convex structures as well as the relationship between (L , M )-fuzzy closure systems and (L , M )-fuzzy cotopologies. Firstly, we show that there is an adjunction between the category LMFC of (L , M )-fuzzy convex spaces and the category LMFS of (L , M )-fuzzy closure spaces, and there is also an adjunction between the category LMFT of (L , M )-fuzzy cotopological spaces and LMFS . In particular, the categories LMFC …and LMFT are both coreflective subcategories of LMFS . Secondly, we prove that there is an adjunction between the category ELFC of extensional L -fuzzy convex spaces and the category LFC of L -fuzzy convex spaces, and there is also an adjunction between the category ELFT of extensional L -fuzzy cotopological spaces and the category LFT of (L , M )-fuzzy cotopological spaces. Specially, ELFC is a coreflective subcategory of LFC and ELFT is a coreflective subcategory of LFT . Show more

Keywords: (L, M)-fuzzy closure system, (L, M)-fuzzy convex structure, (L, M)-fuzzy cotopology, coreflective subcategory

DOI: 10.3233/JIFS-182963

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3751-3761, 2019

Authors: Tremante, Panayotis | Yen, Kang | Brea, Ebert

Article Type: Research Article

Abstract: The fuzzy control uses qualitative knowledge with linguistics descriptions about the operation of any process. Furthermore, Fuzzy Controller (FC) has several parameters which can be adjusted to change the performance. If this adjust is done through a “trial and error” procedure, then it will be very time-consuming and difficult to reach a good performance. Frequently, the tuning of the Membership Functions (MFs) have the most influence to improve the performance of a FC. Therefore, in this study we tune the MFs of a FC using optimization by Direct Search (DS) method, specifically the pattern search. In this sense, our goal …is to improve the performance of the system to satisfy certain conditions and propose optimization method to tune the MFs. The methodology of the optimization is simulation-based. The Objective Function (OF) is the squared error between the set point and the output of the system. The evaluation of the OF and the implementation of the fuzzy control system were performed by simulations. An explanation of the algorithmic method based on the pattern search algorithm is shown. The method proposed in this paper is illustrated with examples for the non-linear systems. The results are compared and discussed with other controllers. Show more

Keywords: Fuzzy control, membership functions, optimization, pattern search

DOI: 10.3233/JIFS-190003

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3763-3776, 2019

Authors: Luqman, Anam | Akram, Muhammad | Davvaz, Bijan

Article Type: Research Article

Abstract: A q -rung orthopair fuzzy model is a powerful framework for illustrating uncertainty and vagueness. This model is more practical, flexible and appropriate as compared to fuzzy, intuitionistic fuzzy and Pythagorean fuzzy models. Directed hypergraphs are utilized to execute higher-order relationships in communications and social webbing. In this research study, we design a new framework for manipulating q -rung orthopair fuzzy data by means of combinative theory of q -rung orthopair fuzzy sets and directed hypergraphs. We introduce certain new concepts, including q -rung orthopair fuzzy directed hypergraphs, dual directed hypergraphs, line graphs and coloring of q -rung orthopair fuzzy …directed hypergraphs. Further, we implement some interesting concepts of q -rung orthopair fuzzy directed hypergraphs to real life problems. Show more

Keywords: q-Rung orthopair fuzzy directed hypergraphs, dual directed hypergraphs, coloring of q-rung orthopair fuzzy directed hypergraphs, algorithms

DOI: 10.3233/JIFS-190054

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3777-3794, 2019

Authors: Sornam, Madasamy | Vanitha, Venkateswaran

Article Type: Research Article

Abstract: The standard backpropagation algorithm has already proven its effectiveness in most of the potential problems, but the major limitation is entrapment of local minima and slow convergence rate. To address these issues, a modified backpropagation algorithm has been proposed by adding a third term called inertia, the physical component used to accelerate the network towards the convergence without getting stuck into local minima. The Chebyshev polynomial form is a convenient method for expanding a function in a linear independent term. Inertia has been expanded using Chebyshev polynomial which is used as a third term in weight updation. The performance of …the proposed algorithm outperforms the standard backpropagation algorithm (SBP) and the backpropagation algorithm with momentum (SBPM). The proposed algorithm was tested with the standard benchmark problems such as XOR problem, parity checking problem and dataset from UCI machine learning repository such as iris flower classification, wheat classification, breast cancer detection and wine classification. Experimental results show that the addition of the third parameter called inertia in the backpropagation algorithm gave better performance and faster convergence rate compared to the SBP and SBPM. Show more

Keywords: Back propagation, chebyshev polynomial, feed forward neural network, inertia, momentum

DOI: 10.3233/JIFS-190063

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3795-3804, 2019