Journal of Intelligent & Fuzzy Systems - Volume 38, issue 2

Authors: Khan, Muhammad Jabir | Kumam, Poom | Liu, Peide | Kumam, Wiyada | ur Rehman, Habib

Article Type: Research Article

Abstract:  The basic idea underneath the generalized picture fuzzy soft set is very constructive in decision-making, since it considers, how to exploit an extra picture fuzzy input from the director to make up for any distortion in the information provided by the evaluation experts, which is defined by Khan et al. In this paper, we introduce a method to solve decision-making problems using adjustable weighted soft discernibility matrix in a generalized picture fuzzy soft set. We define the threshold functions like mid threshold, top-bottom-bottom threshold, bottom-bottom-bottom threshold, top-top-top threshold, med threshold functions and their level soft sets for generalized picture fuzzy …soft sets. After, we propose two algorithms based on threshold functions, weighted soft discernibility matrix, and generalized picture fuzzy soft set. To show the supremacy of the given method we illustrate a descriptive example using weighted soft discernibility matrix in the generalized picture fuzzy soft set. Results indicate that the proposed method is more effective and generalized overall existing methods of the fuzzy soft set. Show more

Keywords: Generalized picture fuzzy soft set, adjustable approach, soft discernibility matrix, multi-criteria decision-making

DOI: 10.3233/JIFS-190812

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2103-2118, 2020

Authors: Sathis Kumar, T. | Latha, K.

Article Type: Research Article

Abstract: Business level service can be implemented by middleware in enterprise systems to improve interoperability and also provides the transparent implementation of client and server process. To improve the performance of Business to Business (B2B) and Business to Consumer (B2C) in terms of enterprise-wide Service Oriented Architecture (SOA), we need to have middleware interoperability especially with representative engineering namely Common Object Request Broker Architecture (CORBA) proposed by Object Management Group, Object Request Broker (ORB) software named ORBeline is available as CORBA complaint. Distinctive models for client-server communications have already been developed and executed in particular Handle Driven ORB (H-ORB), Forwarding ORB …(F-ORB), Process Planner ORB (P-ORB), and the Adaptive ORB (A-ORB). This paper focuses how to improve the performance of the interoperability in Process Planner ORB (P-ORB) with respect to client-server interaction in N-tier architecture along with multithreading environment. Show more

Keywords: Interoperability, multithreading, remote procedure call, CORBA, object request broker

DOI: 10.3233/JIFS-190841

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2119-2127, 2020

Authors: Chen, Kuen-Suan

Article Type: Research Article

Abstract: As the Internet-of-Things matures, technologies for the measurement and collection of production data are also improving. What is needed next is an effective information analysis model to aid in the timely adjustment of manufacturing parameters to optimize production. Production data analysis models must be continuously and properly utilized to monitor and maintain process quality. Improving product quality helps to lengthen service life, decrease scrap and rework, and reduce the social losses caused by malfunctions and maintenance. The Taguchi capability index C pm can fully reflect the losses and yield of processes and is a convenient and effective tool …to evaluate and analyze process data in the industry. As it contains unknown parameters, we derived the upper confidence limit (UCL) of C pm based on collected production data. Due to the fuzzy uncertainties that are common in measurement data, we then used the UCL of the index to construct a fuzzy membership function and propose a fuzzy testing decision-making model to determine whether processes are in need of improvement. Before the proposed fuzzy test methods became full-fledged, we used the concept of sample size and the rules of statistical testing to explain the motivation underlying those methods. In fact, the sample size influences the risk of misjudgment in UCL, and in practice, sample sizes are rarely large due to cost and time considerations, thereby they produce larger UCL with a corresponding decrease in accuracy and increase in risk of misjudgment. The fuzzy test methods proposed in this study are based on statistical inference, and judgement is aided by expertise, thus are capable of solving the problems associated with larger UCL. Therefore, the theoretical foundation of this fuzzy testing decision-making model is the UCL, it can lower the chance of misjudgment caused by sampling errors and increase evaluation accuracy. Show more

Keywords: Fuzzy testing decision-making model, intelligent manufacturing, Taguchi capability index, membership function of fuzzy number, α-cuts

DOI: 10.3233/JIFS-190865

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2129-2139, 2020

Authors: Jun, Young Bae | Xin, Xiao Long

Article Type: Research Article

Abstract:  Lattice implication algebra is a new logical algebraic system which is established by combining lattice and implication algebra. As a generalization of intuitionistic fuzzy set, neutrosophic set is introduced which deals with indeterminate membership in addition to degree of membership and degree of non-membership. In this article, the notion of neutrosophic set theory is applied to lattice implication algebras. The concept of implicative neutrosophic LI-ideals of a lattice implication algebra is introduced, and several properties are investigated. Relationship between a neutrosophic LI-ideal and an implicative neutrosophic LI-ideal is discussed, and conditions for a neutrosophic LI-ideal to be an implicative neutrosophic …LI-ideal are provided. Characterizations of an implicative neutrosophic LI-ideal are considered, and the extension property of an implicative neutrosophic LI-ideal is studied. Show more

Keywords: (implicative) LI-ideal, (implicative) neutrosophic LI-ideal, 06F35, 03G25, 08A72

DOI: 10.3233/JIFS-190866

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2141-2149, 2020

Authors: Pei, Xinjun | Yu, Long | Tian, Shengwei | Wang, Huanhuan | Peng, Yongfang

Article Type: Research Article

Abstract: Combining natural language processing technology, image analysis technology and malware detection technology, a novel Android malware detection method, named BIHAD (an improved IndRNN and attention-treated DenseNet-based pipeline model), is proposed in this paper. First, in order to describe the behavior of Android malware, multiple features are used to construct a more stable discriminant method. Second, the embedding technology is introduced to map all behavior information into a vector space, which implements the extraction of the joint embedded information of semantics and images. Third, an improved Independently Recurrent Neural Network (IndRNN) is used to extract valuable texture information from the original …values of the gray image, and effectively utilized the long distance information contained in the gray image. Finally, Hierarchical Attention Dense Convolutional Network (HADenseNet) is used to ensure the maximization of information flow between layers in the network, improving the utilization of semantic distribution and spatial context information. Especially, Hierarchical Attention can enhance the representational ability for key features. The comparison of the BIHAD model with several existing malware detection methods indicated a significant improvement in F-score achieved by the BIHAD. Show more

Keywords: Dense convolutional network, Independently Recurrent Neural Network, hierarchical attention, neural joint model, android malware detection

DOI: 10.3233/JIFS-190888

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2151-2163, 2020

Authors: Ma, Weimin | Lei, Wenjing | Sun, Bingzhen

Article Type: Research Article

Abstract:  Three-way decisions, deduced from decision-theoretic rough set (DTRS), provide useful approaches for uncertain decision-making problems from a new perspective. Considering situations where decision-makers hesitate among several evaluation values, the hesitant fuzzy set, an innovative extension of fuzzy set, is introduced into multigranulation DTRS under multi-criteria group decision-making (MCGDM) environment. More specifically, we incorporate DTRS with hesitant fuzzy information into MCGDM in this paper, and explore the related decision-making mechanism. Firstly, the variable precision multigranulation hesitant fuzzy DTRS over two universes is defined by utilizing hesitant relation and conditional probability of a hesitant fuzzy event, and the associated decision rules and …properties are derived and carefully investigated. Accordingly, as two special types, optimistic and pessimistic multigranulation hesitant fuzzy DTRS over two universes are constructed similarly at the same time. Then, different from loss functions with fixed values in most of the existing DTRS models, the loss functions in the paper are not given directly but calculated from evaluation values expressed by hesitant fuzzy elements. With the aid of the distance measure of hesitant fuzzy elements, the calculation of loss functions is presented. Furthermore, the three-way group decision-making model based on multigranulation hesitant fuzzy DTRS over two universes is established to address MCGDM problems, and key steps of this model are designed. Finally, we elaborate the application of the model by an example of green supplier selection problem. Show more

Keywords: Three-way decisions, rough set over two universes, hesitant fuzzy rough set, multigranulation, multi-criteria group decision-making, green supplier selection

DOI: 10.3233/JIFS-190970

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2165-2179, 2020

Authors: Ambeth Kumar, V.D. | Malathi, S. | Venkatesan, R. | Ramalakshmi, K. | Vengatesan, K. | Ding, Weiping | Kumar, Abhishek

Article Type: Research Article

Abstract: Foot print, a distinct parameter, is commonly associated with biometrics. Though several methods have been developed in the field of automated biometric based identification, foot print recognition has different characteristics and plays a pivotal role for identification. In this modern world, it is invariably required to have enhanced security and footprint is one such biometric system which is useful for providing authentication and identification. Footprint is also gaining popularity as a technology to identify new born babies at hospitals. The continuous growth in human population necessitates the absolute need for unique identification technique. Recently, there are several incidences of security …breach in hospitals where improper tagging of babies lead to child theft and child mismatch. The main objective of this work is to identify a new foot parameter by using two newly proposed algorithms, which helps in better recognition of the foot image. The foot feature extraction methodologies and the procedure for image recognition have been briefly described. The proposed work also highlights the future work to be carried out in this aspect. Show more

Keywords: Features, foot images, filters, matching

DOI: 10.3233/JIFS-190982

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2181-2196, 2020

Authors: Li, Tao | Zhang, Liyuan | Yang, Ziyu

Article Type: Research Article

Abstract:  In order to express the uncertainty associated with imprecision or vagueness, a decision maker may give his/her judgments in terms of intuitionistic multiplicative preference relations. In the process of decision making with intuitionistic multiplicative preference relations, how to obtain the intuitionistic multiplicative priority weight vector is an important issue. In this paper, based on the consistency of intuitionistic multiplicative preference relation, a new transformation formula is introduced to construct a consistent intuitionistic multiplicative preference relation from a given normalized intuitionistic multiplicative weight vector. Then, we propose two techniques for group decision making with intuitionistic multiplicative preference relations. In the first …case where the decision maker acts as separate individual, the intuitionistic multiplicative priority weight vector of each decision maker can be derived from the individual intuitionistic multiplicative preference relation, after that an overall priority weight vector can be obtained by synthesizing these individual priority weight vectors together. When the decision makers are taken as a group, the overall intuitionistic multiplicative priority weight vector can be generated directly by building a goal programming model without using the aggregation operator. Furthermore, two examples are presented to illustrate the validity and applicability of the proposed methods. Show more

Keywords: Decision making, intuitionistic multiplicative preference relation, consistency

DOI: 10.3233/JIFS-190996

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2197-2210, 2020

Authors: Shakeel, Muhammad | Aslam, Muhammad | ul Amin, Noor | Jamil, Muhammad

Article Type: Research Article

Abstract: In this paper, we define some Einstein operations on Pythagorean trapezoidal uncertain linguistic hesitant fuzzy (PTULHF) set and developed Pythagorean trapezoidal uncertain linguistic hesitant fuzzy Einstein weighted geometric (PTULHFEWG) operator, Pythagorean trapezoidal uncertain linguistic hesitant fuzzy Einstein ordered weighted geometric (PTULHFEOWG) operator and Pythagorean trapezoidal uncertain linguistic hesitant fuzzy Einstein hybrid weighted geometric (PTULHFEHG) operator. Furthermore, we origin ate the relationship between the current aggregation operators and suggested operators and establish many properties of these operators. We apply the proposed aggregation operators to deal with multi-attribute group decision making (MAGDM) problems. Finally, an illustrative example is given to illustrate the …decision-making steps and to demonstrate its practicality and effectiveness. We also compare the result of proposed method with existing methods. Show more

Keywords: Trapezoidal fuzzy numbers, pythagorean trapezoidal fuzzy numbers, einstein operation, aggregation operation, multiple attribute group decision-making

DOI: 10.3233/JIFS-191003

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2211-2230, 2020

Authors: Wu, Hui | Wang, Bing

Article Type: Research Article

Abstract: In this paper, we study the single-machine scheduling problem and obtain some new results on the special time-delay structure and mixed precedence constraints. We first demonstrate the complexity of the ordinary problem under different circumstances and obtain two cases, namely a polynomial solvable case and an NP-complete case. Then, we present a fuzzy extension of the ordinary problem, based on which a representation of the non-dominated solutions is given for the fuzzy scheduling problem. Finally, we demonstrate the complexity of fuzzy extension problems under different time delays by proposing corresponding algorithms.

Keywords: Single-machine scheduling problem, mixed precedence constraints, fuzzy time delays, makespan, complexity

DOI: 10.3233/JIFS-191007

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 2231-2244, 2020