Journal of Intelligent & Fuzzy Systems - Volume 34, issue 3

Authors: Liu, Lu

Article Type: Research Article

Abstract: Obtaining interesting and topic-relevant information is a very important task in Web mining. Text classification using a small proportion of labeled data and a large proportion of unlabeled data, also called semi-supervised learning, is a well-known problem. Despite plenty of research on text classification, however, how to effectively and efficiently apply valuable frequent patterns and deal with high-dimensional data in text classification is still an open issue. Due to the increasing data volumes and plenty of high-dimensional data, both distance measures and time complexity could be influenced by the noisy data. This paper targets on this problem and presents a …novel method for text classification called CTFP (Classification based on TFP-tree), which uses TFP-tree (Text-Frequent-Pattern-tree) to generate frequent patterns in tremendous amount of texts and conduct text classification in a relatively low dimensional data space. It effectively reduces the data dimensionality during constructing the classifier. Substantial experiments on three datasets (RCV1, SRAA and Reuters-21578) show that our proposed method can achieve better performance than many existing state-of-the-art methods on precision, efficiency and many other evaluation metrics. Show more

Keywords: Text classification, dimensionality reduction, TFP-tree, SVM, frequent patterns

DOI: 10.3233/JIFS-171238

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1893-1905, 2018

Authors: Al Tahan, Madeline | Hošková-Mayerová, Šarka | Davvaz, Bijan

Article Type: Research Article

Abstract: On a hypergroup, one can define a topology such that the hyperoperation is pseudocontinuous. The purpose of this paper is to study examples of topological hypergroupoids. We show that there is no relation (in general) between pseudotopological and strongly pseudotopological hypergroupoids. In particular, we present a topological hypergroupoid that does not depend on the pseudocontinuity nor on strongly pseudocontinuity of the hyperoperation.

Keywords: Hypergroupoid, topological hypergroupoid

DOI: 10.3233/JIFS-171265

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1907-1916, 2018

Authors: Liu, Caihui | Pedrycz, Witold | Jiang, Feng | Wang, Meizhi

Article Type: Research Article

Abstract: Three way decision model, as a new and meaningful decision making method, has attracted much attention and various results and applications have been reported. This paper investigates decision-theoretic rough set (DTRS) approach in the framework of multi-covering approximation spaces. By integrating fuzzy probability measure into Bayesian decision procedure, we define the notions of covering-based mean multigranulation decision-theoretic rough sets, covering-based optimistic multigranulation decision-theoretic rough sets, and covering-based pessimistic multigranulation decision-theoretic rough sets. We first investigate the basic properties of the three proposed models. Second, we elaborate on the relationship between the proposed models and those existing in literature, and discuss …the interrelationships of the models. Finally, an illustrative example is employed to show the application of the proposed models. Show more

Keywords: Covering, decision-theoretic rough set, multi-granulation, three way decisions

DOI: 10.3233/JIFS-171275

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1917-1931, 2018

Authors: Wang, Xiao | Ning, Yufu

Article Type: Research Article

Abstract: Uncertain set is a set-valued function on an uncertainty space, and used to model unsharp concepts. In uncertain set theory, the distance between uncertain sets has been proposed. However, the existing distance measure formula is complicated and calculated by supremum and integral. Based on the membership function and inverse membership function, this paper proposes an easier way to calculate the distance between uncertain sets. At the same time, the distance measure formulas of two types of uncertain sets are also derived. Especially, the formula of triangular uncertain sets is expressed by some parameters. At last, the paper discusses the application …in classification via the proposed distance measure formulas. Show more

Keywords: Uncertain set, distance, membership function, inverse membership function, classification

DOI: 10.3233/JIFS-171333

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1933-1945, 2018

Authors: Mandal, Sonia | Sahoo, Sankar | Ghorai, Ganesh | Pal, Madhumangal

Article Type: Research Article

Abstract: In this paper, the embedding of m -polar fuzzy graphs which constructed on the surface of spheres is introduced. The m -polar fuzzy genus graphs with its genus value, strong and weak m -polar fuzzy genus graph are defined. Also isomorphism properties on m -polar fuzzy genus graph are discussed. The relation between planarity value and genus value of m -polar fuzzy graph is established. Euler polyhedral equation is established in terms of genus value of the m -polar fuzzy genus graph. Finally, an application of m -polar fuzzy genus graph is given in topological surface.

Keywords: m-polar fuzzy graphs, graph embedding, genus value, strong and weak m-polar genus value

DOI: 10.3233/JIFS-171442

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1947-1957, 2018

Authors: Zhang, Xue-yang | Wang, Jian-qiang | Hu, Jun-hua

Article Type: Research Article

Abstract: The hesitant linguistic term set, defined as a set that includes several linguistic terms, is a useful tool to describe the hesitancy and reflect the cognition of decision makers when evaluating alternatives in real-life decision making processes. To fully take advantage of this strength, we conduct a study on multi-criteria group decision making (MCGDM) with hesitant linguistic information, where decision makers employ multi-granular linguistic term sets to express opinions. Aiming to avoid information loss, we employ hesitant 2-tuple sets to make computations of hesitant fuzzy linguistic term sets (HFLTSs). The contributions of this article are summarized as follows. First, we …introduce the relative projection model for hesitant 2-tuple sets. This model is further extended to a situation where hesitant 2-tuple sets are denoted by multi-granular linguistic term sets. Second, to measure the similarity degree between two individual decision matrices, a similarity measurement is presented by using the relative projection model for two multi-granular hesitant 2-tuple linguistic matrices. Third, some aggregation operators are developed to aggregate individual multi-granular hesitant 2-tuple linguistic information. Subsequently, a consensus measure and definitions for group consensus are presented to handle consensus problems in the MCGDM proceeding. Finally, a consensus approach that comprises the proposed models and a feedback mechanism is developed to handle multi-granular hesitant fuzzy linguistic MCGDM problems. To demonstrate the validity and applicability of the proposed approach, an examined example on the selection of treatment technologies for disposing healthcare waste management is provided. Show more

Keywords: Multi-granular linguistic MCGDM, HFLTSs, hesitant 2-tuple sets, similarity measure, aggregation operator, consensus

DOI: 10.3233/JIFS-171629

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1959-1974, 2018

Authors: Çetkin, Vildan | Aygün, Halis

Article Type: Research Article

Abstract: In this study, we aim to introduce the notion of a parameterized connectedness degree of an L -fuzzy soft set in L -fuzzy (E , K )-soft topological spaces. We first define the notion of a parameterized separatedness degree of L -fuzzy soft sets in L -fuzzy (E , K )-soft topological spaces in terms of closure operators. Then we introduce the notion of a parameterized connectedness degree of L -fuzzy soft sets and generalize some connectedness properties, well known in general topology, to L -fuzzy (E , K )-soft topological spaces.

Keywords: Fuzzy soft set, fuzzy soft topology, separatedness degree, connectedness degree

DOI: 10.3233/JIFS-17544

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1975-1983, 2018

Authors: Li, Binquan | Hu, Xiaohui

Article Type: Research Article

Abstract: Large amounts of data are generated by the intelligent transportation system (ITS) everyday. It exceeds the storage and processing capacity of conventional systems, and also doesn’t fit the structures of current database. Therefore, it is necessary to use efficient methodology addressing the challenges. Vehicle logo recognition (VLR) is a significant application in ITS. VLR is difficult due to the geometric distortions as well as various imaging situations simultaneously. However, traditional methods and hand-crafted features have many limitations. Convolutional neural network (CNN) enjoys the success in many machine vision tasks. Inspired by the excellent performance of CNN, we design and develop …a novel VLR distributed system framework based on Hadoop ecosystem and deeplearning. We propose a Mapreduce based CNN called MRCNN to train the networks, which significantly increases the training speed and reduces the computation cost simultaneously. Furthermore, unlike previous classical CNN starting from a random initialization, we propose a novel genetic algorithm (GA) global optimization and Bayesian regularization approach called GABR in order to initialize the weights of classifier, which help prevent the overfitting and avoid the local optima. Compared with other algorithms, the proposed method performs best and increases the recognition accuracy with good initial weights optimized by GABR. The results show that the distributed system framework and proposed algorithms are suitable for real-world applications of VLR. Show more

Keywords: MRCNN, vehicle logo recognition (VLR), Hadoop ecosystem, GA optimization, intelligent transportation system (ITS)

DOI: 10.3233/JIFS-17592

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1985-1994, 2018

Authors: Wang, Li | Jin, Lei

Article Type: Research Article

Abstract: In this paper, a robust linear programming is considered, where all of its coefficients in the objective function and constraints are rough intervals or IT2 rough interval coefficients. First, we allow the IT2 rough intervals to transform into rough intervals using [α 1 ,  α 2 ] level. Then, a robust two-step solution method (RTSM) is developed to solve the robust linear programming problem with IT2 rough interval coefficients (LPIT2RIC). Finally, an example is presented to demonstrate the results.

Keywords: Linear programming, uncertainty, T2 fuzzy set theory, rough set theory, IT2 rough coefficients

DOI: 10.3233/JIFS-17783

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1995-2001, 2018

Authors: Udayakumar, R. | Geetha, K.V.

Article Type: Research Article

Abstract: This article discusses a vendor-buyer inventory model with permissible delay in payments and controllable lead time in which the order quantity, lead time and the number of shipments delivered from vendor to the buyer in a production cycle are decision variables. Here the production process is imperfect. The lead time is crashed and the crashing cost is an exponential function of lead time. Based on the lead time demand, two models are developed, that is, lead time demand follows a normal distribution in the first model and then distribution free approach is considered in the second model to minimize the …joint total expected cost per unit time. Efficient computational algorithm is designed to find the optimal solution. Numerical examples are provided to illustrate the results obtained. Sensitivity analysis is carried out to study the changes in the effect on optimal solution and some managerial phenomena are obtained through sensitivity analysis. Show more

Keywords: Supply chain, controllable lead time, permissible delay in payment, service level constraint

DOI: 10.3233/JIFS-17786

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 2003-2019, 2018