Journal of Intelligent & Fuzzy Systems - Volume 38, issue 4

Authors: Vo, Thanh | Sharma, Rohit | Kumar, Raghvendra | Son, Le Hoang | Pham, Binh Thai | Tien Bui, Dieu | Priyadarshini, Ishaani | Sarkar, Manash | Le, Tuong

Article Type: Research Article

Abstract: Nowadays, the crime rate increases dramatically in every country. Therefore, it is an urgent need for governments and social associations to produce persistent solutions and disincentive penalties to prevent crime issues. Specifically, social media plays an important role in crime rate detection; thus, reducing crime rates significantly. It would be a good medium for the desired task. In this paper, we analyze Twitter data collected from Twitter accounts for seven different locations (Ghaziabad, Chennai, Bangaluru, Chandigarh, Jammu, Gujarat, and Hyderabad) from January 2014 to November 2018 in a case study of India, which is opted to illustrate the efficiency of …the proposed work. Sentiment analysis has been used to analyze users’ behavior and psychology through the tweets of people to track crime actions. Twitter part-of-speech tagger, which is a Markov Model of first-order entropy, has been used for part-of-speech in online conversational text. Brown clustering is used for a long set of unlabeled tweets. Comparisons are verified with real crime rates from an authorized source of information according to different locations. We also measure the latest crime trends for the highest (Ghaziabad, Uttar Pradesh) and lowest crime cities (Jammu) in India. It has been found that the latest crime trends have been recorded for the time duration of 7 days (23, January 2019 to 30, January 2019). The analyses demonstrate that the obtained results match with the real crime rate data. We believe that these types of studies will help to detect the real-time crime rate for different locations and detect the crime pattern easily. Show more

Keywords: Crime detection, Twitter data, social media, sentiment analysis, Brown clustering

DOI: 10.3233/JIFS-190870

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4287-4299, 2020

Authors: Boulaaras, Salah

Article Type: Research Article

Abstract:  The paper deals with the existence of positive solutions of nonlocalp  (x )-Kirchhoff hyperbolic systems with zero Dirichlet boundary conditions in bounded domain Ω ⊂ R N by using sub-super solutions method combined with a comparison principle. Moreover, the numerical example is presented to illustrate the stationary case.

Keywords: Positive solutions, sub-super solutions method, p (x)-Kirchhoff systems

DOI: 10.3233/JIFS-190884

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4301-4313, 2020

Authors: Milanovic, Marija | Misita, Mirjana | Komatina, Nikola

Article Type: Research Article

Abstract: In this paper, we consider the problem of determining the optimal production quantity under uncertainties. The treated problem has a critical effect on the achievement of business goals, which further propagates to the competitive advantage of manufacturing company. The considered problem is stated as the fuzzy linear programming task. The objective function is defined as the maximization of all profit over the time period. The set of constraints consists of constraints deriving from the enterprise (available capacities) and from the market (demand). The fuzzy rating coefficient values of objective function of each pair of the considered products are described by …linguistic expressions which are modelled by triangular fuzzy numbers. Handling of uncertainties of the stated fuzzy pair-wise comparison matrix is performed by using the extent analysis. The right-hand-side values of the capacity constraints are determined by decision makers and modelled by the triangular fuzzy numbers. The market constraint values are given according to evidence data. Determination of the optimal quantities of considered products for each time period is based on the concept of equal possibilities. The proposed model is illustrated by an example with real-life data. Show more

Keywords: Production plan, fuzzy set, fuzzy analytic hierarchy process, fuzzy linear programming

DOI: 10.3233/JIFS-190913

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4315-4325, 2020

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

Article Type: Research Article

Abstract:  As a combination of an interval-valued intuitionistic fuzzy soft set (IVIFSS ) and interval-valued intuitionistic fuzzy set (IVIFS ), the existing notion of the generalized interval-valued intuitionistic fuzzy soft set (GIVIFSS ) is clarified and reformulated. We define two types of containment in GIVIFSS . With this new perspective, the g -union, g -intersection, g ∗ -union, g ∗ -intersection, OR, AND, g-necessity and g-possibility operations are defined for GIVIFSSs . The properties and relations between operations of GIVIFSSs are investigated. An algorithm is proposed for solving MADM problems using GIVIFSS . A descriptive example is presented to see …the applicability of the proposed method. Results indicate that the proposed technique is more effective and generalize over the previous models of interval-valued fuzzy sets. Show more

Keywords: Interval-valued intuitionistic fuzzy set, interval-valued intuitionistic fuzzy soft set, generalized interval-valued intuitionistic fuzzy soft set, multi-attribute decision making

DOI: 10.3233/JIFS-190944

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4327-4341, 2020

Authors: Kang, Xinhui | Porter, Caroline Samantha | Bohemia, Erik

Article Type: Research Article

Abstract: Customer satisfaction is an important indicator of user preferences for products which directly influence customers’ purchase intentions. It is also an essential Kansei factor for enterprises to successfully develop products. Therefore, the objective of this study is to apply the fuzzy weighted association rule mining (FWARM) approach to extract the significant association between customer satisfaction and product form features, thus providing specific parameter guidelines for the enterprise’s business decisions. In previous research, the fuzzy association rule mining (FARM) approach has proved to be a promising way forwards. However, the absence of consideration of the weight of items is always criticized …as creating an uninteresting rule with high frequency and low importance. Therefore, in this study the fuzzy Delphi method (FDM) is used to calculate the weight of each item in the early stage of data mining, and filters out items with a high degree of consensus. Then, the FARM method extracts the fuzzy weighted association rule. Taking the household exercise bike as an example, the authors find that handlebar, LCD screen, rack, main outline and pedestal are vital item features. Subsequently, the method is used to identify 14 rules to inform the development of the exercise bike’s form to achieve high customer satisfaction; valuable knowledge support is provided for manufacturers and designers in the initial stage of new product development, potentially improving customer satisfaction and reducing the risk of product failure. Show more

Keywords: Customer satisfaction, Kansei engineering, Fuzzy Delphi method, Fuzzy weighted association rule mining, Exercise bike

DOI: 10.3233/JIFS-190957

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4343-4357, 2020

Authors: Li, Deng-Feng | Mahmood, Tahir | Ali, Zeeshan | Dong, Yucheng

Article Type: Research Article

Abstract: The interval complex single-valued neutrosophic fuzzy set (ICSVNFS) and hesitant fuzzy set (HFS) are two important different generalizations of the fuzzy set (FS) to cope with unreliable and unpredictable information in the real world. The ICSVNHFS is characterized by interval complex-valued membership, interval complex-valued abstinence, and interval complex-valued non-membership grades, whose ranges are restricted to a unit disc in a complex plane instead of real numbers. In this paper, the notions of interval-valued complex single-valued neutrosophic hesitant fuzzy sets (IVCSVNHFSs) are initiated and also their operational laws are described with examples. Further, based on IVCSVNHFSs, we develop the notions of …the interval-valued complex single-valued neutrosophic fuzzy generalized weighted (IVCSVNHFGW) operator, interval-valued complex single-valued neutrosophic fuzzy generalized ordered weighted (IVCSVNHFGOW) operator, and interval-valued complex single-valued neutrosophic fuzzy generalized hybrid weighted (IVCSVNHFGHW) operator to cope with decision information and also study their properties. Further, a new multi-attribute group decision making (MAGDM) problem is initiated based on the proposed operators. Finally, we provide some numerical examples to illustrate the reliability and superiority of the proposed methods by comparison with other existing methods. Show more

Keywords: Complex neutrosophic set, interval complex neutrosophic set, hesitant fuzzy set, interval-valued complex single-valued neutrosophic hesitant fuzzy set

DOI: 10.3233/JIFS-191005

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4359-4401, 2020

Authors: Han, Shumin | Shen, Derong | Nie, Tiezheng | Kou, Yue | Yu, Ge

Article Type: Research Article

Abstract:  Matching similar records from different databases to prevent duplication in a private manner has attracted plenty of attention, which is referred to as Private Entity Matching (PEM). In spite of various approaches having been proposed to solve this problem, private linking numerical data such as integer (e.g. age), floating point (e.g. body mass index) from multiple databases is an urgent gap, which is commonly required in health domain, statistical departments and more. Hence, this paper targets at solving the problem of linking numerical data from three or more sources in an efficient and secure way. Firstly, we introduce a novel …homomorphic encryption method constrained similar modul, which provides strong privacy to encrypt numerical data in the range of real numbers. Then, to avoid frequent decryptions in the homomorphic encryption schema, we draw an inference about the encryption keys. Finally, an accelerated algorithm is proposed to reduce the complexity of multi-party numerical records matching. Our approach is considered absolute safety that no party learns any sensitive information of the others in the absence of collusion. Experiments on two real-world health information databases of patient records validate our approach with regards to the efficiency improvement and at the same time, at no the sacrifice of linkage quality. Show more

Keywords: Entity matching, privacy, numerical records, multiple databases

DOI: 10.3233/JIFS-191064

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4403-4414, 2020

Authors: Yang, Yongwei | Zhu, Kuanyun | Xin, Xiaolong

Article Type: Research Article

Abstract:  The concepts of fuzzy weak hyper deductive systems and fuzzy sup-weak hyper deductive systems of hyper equality algebras as generalizations of fuzzy deductive systems are initiated in the paper. Moreover, several related properties and characterizations of fuzzy weak hyper deductive systems and fuzzy sup-weak hyper deductive systems are investigated, and the relationships between fuzzy sup-weak hyper deductive systems of homomorphic hyper equality algebras are also presented based on the introduced homomorphism in hyper equality algebras. It is known that a fuzzy weak hyper deductive system is a fuzzy set, while the converse is not true in general. In order to …measure the degree of a fuzzy set becoming a fuzzy weak hyper deductive system, we introduce the notion of fuzzy weak hyper deductive system degrees, and put forward some equivalent characterizations of the fuzzy weak hyper deductive system. Show more

Keywords: Hyper equality algebra, fuzzy weak hyper deductive system, R-implication, fuzzy weak hyper deductive system degree

DOI: 10.3233/JIFS-191112

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4415-4429, 2020

Authors: Wang, Xiao

Article Type: Research Article

Abstract: Uncertain pantograph differential equation is a new type of differential equations in uncertainty theory. In this paper, we first give the concept of uncertain pantograph differential equation. In addition, this paper aims at the stability of this type of differential equations. The concepts of stability in measure and stability in p th moment for uncertain pantograph differential equations are presented and the sufficient conditions for uncertain pantograph differential equations being stable in measure and in p th moment are derived. Finally, this paper also discusses the relationship between these two types of stability.

Keywords: Uncertain pantograph differential equation, stability in measure, stability in pth moment, uncertainty theory

DOI: 10.3233/JIFS-191148

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4431-4439, 2020

Authors: Zhu, Kuanyun | Wang, Jingru | Jiang, Binghua

Article Type: Research Article

Abstract: Recently, Qiao [8 ] investigated the distributive laws of uninorms over overlap and grouping functions when the uninorms were one of the usual classes (e.g., U min , U max , the family of idempotent uninorms, representable uninorms or uninorms continuous on ] 0, 1 [2 ) and obtained some characterizations. As an addendum to [8 ], in this paper, we investigate the distributive laws of overlap and grouping functions over uninorms. In addition, we show some characterizations when the uninorm U belongs to one certain class.

Keywords: Overlap functions, grouping functions, uninorms, distributive laws

DOI: 10.3233/JIFS-191168

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4441-4446, 2020