Journal of Intelligent & Fuzzy Systems - Volume 36, issue 1

Authors: Yaqoob, Naveed

Article Type: Research Article

Abstract: In this paper, we study the idea of rough approximations in LA-polygroups, and present some examples in this respect. In particular, we study some properties of rough LA-subpolygroup which is an extension of LA-subpolygroup. We prove that the lower (upper) approximation of an LA-subpolygroup is an LA-subpolygroup. We consider the factor LA-polygroup P /H and interpret the lower and upper approximations as subsets of the factor LA-polygroup P /H . Then, we introduce the concept of factor rough LA-subpolygroups. Also, we provided some results on homomorphisms of rough LA-subpolygroups.

Keywords: LA-polygroups, LA-subpolygroups, Lower approximations, Upper approximations

DOI: 10.3233/JIFS-18776

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 1, pp. 517-526, 2019

Authors: Górecki, Tomasz | Łuczak, Maciej

Article Type: Research Article

Abstract: A key component of many types of time series classification methods is an appropriate dissimilarity measure. Elastic measures like DTW, LCS, ERP and EDR are methods that have long been known in the time series community. The methods have flourished, particularly in the last decade, and have been applied to many real problems in a variety of branches. All of the above-mentioned measures have the common feature that they work in the time domain and equalize for possible localized misalignment through some elastic adaptation. However, being of quadratic time complexity, global constraints are often used to speed up computation. Apart …from this advantage, it has been shown by simulations that constrained measures can also give better classification results than unconstrained measures. In this paper, our aim is to verify experimentally the effects of the Sakoe–Chiba band on classification (by the 1NN method) with the above-mentioned measures. Using rigorous statistical analysis we demonstrate that it is possible to find global constraints which lead to improvement of the classification accuracy for all methods. Additionally, for each measure we suggest the best values of the parameter r (the size of the band). Show more

Keywords: Time series classification, global constraints, elastic measures, dynamic time warping, longest common subsequence, edit distance with real penalty, edit distance on real sequence, Sakoe–Chiba band, derivative dynamic time warping

DOI: 10.3233/JIFS-18839

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 1, pp. 527-539, 2019

Authors: Javed, Mohammed | Nagabhushan, P. | Chaudhuri, Bidyut B. | Singh, Satish K.

Article Type: Research Article

Abstract: With substantial usage of Imaging Technology in the medical field for the diagnosis and treatment of illnesses, a huge volume of medical images are being generated which provide a bigger challenge in terms of storage, transmission and processing. The high resolution medical images thus generated occupy large storage space, and hence they are subjected to compression to make them storage and transmission efficient. Though compression overcomes the issues of storage and transmission to some extent, but the problem of processing compressed images still remains as a challenge. This is because; the usual way of processing the compressed medical images is …through the operations of decompression and recompression, which consume lots of computing resources. Therefore, it would be novel, if the compressed medical images are processed and analysed directly in the compressed formats without involving the expensive operations like decompression and recompression. In this direction, the current research paper demonstrates a novel technique of edge based enhancement of retinal images, which is a very critical operation from disease diagnosis perspective, directly in the JPEG compressed domain. The developed algorithm is validated with publicly available retinal datasets of DRIVE and DIARETDB1, and the performance reported is compared with the state-of-the-art techniques in the uncompressed (spatial) domain in terms of both quality of enhancement and computation time. Show more

Keywords: Edge enhancement, retinal images, compressed domain, JPEG compressed domain, Discrete Cosine Transform (DCT)

DOI: 10.3233/JIFS-18859

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 1, pp. 541-556, 2019

Authors: Liu, Peide | Tang, Guolin

Article Type: Research Article

Abstract: To handle more complex multiple attribute decision making (MADM) problems, we define a novel type of fuzzy sets called interval-valued dual hesitant fuzzy uncertain linguistic (IVDHFUL) sets (IVDHFULSs) by combining interval-valued dual hesitant fuzzy sets with uncertain linguistic term sets. Then, the operations, the comparison method and the Hamming distance measure of IVDHFUL elements (IVDHFULEs) are defined. Besides, we propose the IVDHFUL Choquet geometric (IVDHFULCG) operator. This operator considers the interaction between adjacent coalitions of attributes. To overall capture the correlations among attributes, the Shapely IVDHFULCG (SIVDHFULCG) operator is proposed. In order to simplify the complexity of handling fuzzy measures, …we further propose the 2-order additive SIVDHFULCG (2OA-SIVDHFULCG) operator. Moreover, when the weighting information is partly known, models for the optimal fuzzy measures are constructed. Finally, we propose two novel MADM methods and provide two cases to illustrate the specific application of the developed methods. Show more

Keywords: Multiple attribute decision making (MADM), interval-valued dual hesitant fuzzy uncertain linguistic sets, Hamming distance measure, Choquet integral, generalized Shapely function, 2-order additive fuzzy measure

DOI: 10.3233/JIFS-18890

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 1, pp. 557-574, 2019

Authors: Chen, Ling | Chen, Zhen

Article Type: Research Article

Abstract: In this paper, we focus on investigating decomposition theorem of fuzzy tensors. We first propose definitions of cutting tensor and anti-fuzzy cutting tensor. Scalar product and anti-fuzzy scalar product of number and fuzzy tensor are put forth, and some properties of scalar product are discussed. Then, we propose and prove decomposition theorem of fuzzy tensor. Our numerical examples and applications show that the feasibility of the presented decomposition methods.

Keywords: Fuzzy tensor, cutting tensor, anti-fuzzy cutting tensor, fuzzy tensor decomposition theorem, MSC: 03E72, 15B15, 80M25

DOI: 10.3233/JIFS-18911

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 1, pp. 575-581, 2019

Authors: Garcia-Rodriguez, Rodolfo | Parra-Vega, Vicente

Article Type: Research Article

Abstract: For some dexterity robotic tasks, such as turning a constrained dynamic object, rolling motion is a crucial advanced characteristic, which for the human hand is possible from the shape and soft tip in our fingers. This paper presents the manipulation of a rigid constrained dynamic circular object using a robotic finger equipped with a hemispherical and soft tip. Assuming that object angle measurement is not available, a force-position regulator is proposed to guarantee the control of contact force, as well as the object angle throughout the tangential force. To establish the relationship between the rolling angle and the tangential force, …the use of Echo State Network (ESN) becomes instrumental. A novel smooth weight adaptation scheme steered by a sliding mode attractor, for readout network is proposed. Stability conditions are obtained to guarantee convergence in finite time using small feedback gains and piecewise continuous functions. Additionally, the local asymptotic stability of the pair robot-object is guaranteed without force sensing, not either any knowledge of the deformation nor penetration measurement, leading surprisingly to a simple blind touch -type controller for such difficult task. Finally, numerical simulations show the learning rule contribution and the behavior of the closed-loop system. Show more

Keywords: Echo State Networks, sliding mode control, soft fingertip, adaptive learning, constrained object, manipulation

DOI: 10.3233/JIFS-18915

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 1, pp. 583-594, 2019

Authors: Khan, Faisal | Khan, Muhammad Sajjad Ali | Shahzad, Muhammad | Abdullah, Saleem

Article Type: Research Article

Abstract: Since Pythagorean fuzzy sets and interval-valued Pythagorean fuzzy sets are better tools to deal with fuzziness and vagueness. Therefore, in this paper, we present the notion of Pythagorean cubic fuzzy sets in which the membership degree and non-membership degree are cubic fuzzy numbers which hold the conditions that the square sum of its membership degree is less than or equal to 〈 1 ˜ , 1 〉 . We define some basic operators and to compare two Pythagorean cubic fuzzy numbers we develop score and accuracy function. We also define the distance between two Pythagorean …cubic fuzzy numbers. Based on the defined operators, we propose Pythagorean cubic fuzzy weighted averaging (PCFWA), Pythagorean cubic fuzzy weighted geometric (PCFWG), Pythagorean cubic fuzzy ordered weighted averaging (PCFOWA) and Pythagorean cubic fuzzy ordered weighted geometric (PCFOWG) operators. We discuss some of its operational laws of the established operators and suggest a multi criteria decision-making (MCDM) approach based on the developed operators. Moreover, the methods and operators proposed in this paper are providing more general, more accurate and precise results as compared to the existing methods because these methods and operators are the generalization of their existing methods. Furthermore, the method for multi-criteria decision-making problems based on these proposed operators was developed, and the operational processes were also illustrated in detail. Finally, an illustrative example is given to show the decision-making steps in detail of these proposed methods and operators to show the validity, practicality and effectiveness. Show more

Keywords: Interval valued pythagorean fuzzy set, pythagorean cubic fuzzy set, PCFWA operator, PCFWG operator, PCFOWA operator, PCFOWG operator, multi criteria decision-making

DOI: 10.3233/JIFS-18943

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 1, pp. 595-607, 2019

Authors: Ke, Hua | Chai, Shiwei | Cheng, Rong

Article Type: Research Article

Abstract: The rapid development of car sharing raises a concerned question: is it a better alternative to car sales? This paper studies a business model selection problem where an automobile manufacturer with uncertain information chooses his strategy from three options: sale only (SO ), car sharing only (CO ), and both sale and car sharing (SC ). A game-theoretic model is built to investigate what are the key factors influencing the introduction of car sharing and how it brings environmental impact. Our results show that both the selling price and car-sharing fee keep invariable regardless of which business model the manufacturer …chooses. CO is a dominated strategy. Besides, SC dominates SO when producing cost is either sufficiently low or high, while the opposite is true for a medium producing cost. In addition, only when producing cost is sufficiently high, a win-win outcome emerges: the introduction of car sharing not only increases the manufacturer’s profit, but also reduces total vehicle quantity, which helps alleviate urban congestion. Finally, our results prove that the increase of uncertainty degree benefits the manufacturer when SC is adopted. Show more

Keywords: Car sharing, game theory, pricing strategy, uncertain information, business model selection

DOI: 10.3233/JIFS-18961

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 1, pp. 609-624, 2019

Authors: Ding, Quanyu | Wang, Ying-Ming

Article Type: Research Article

Abstract: In multi-attribute decision-making problems, vague decision information is well-represented by intuitionistic fuzzy sets. However, many of the scoring functions of existing methods cannot always obtain a ranking for the alternatives. In this paper, a TOPSIS-based decision-making method is proposed for multi-attribute decision-making problems in which the attribute weights are unknown and the decision information is in the form of intuitionistic fuzzy numbers. First, a revised definition of the scoring function is introduced and used to solve the intuitionistic fuzzy entropy, which is then used to objectively determine the attribute weights. Second, intuitionistic fuzzy-weighted geometric operators are used to integrate the …information. The positive and negative ideal solutions of the comprehensive attribute values are determined, and the similarities between each alternative and the positive and negative ideal solutions are calculated. Finally, the alternatives set is ranked by comparing the relative closeness of the alternatives. This proposed method increases the range of applications of the traditional entropy-weighted method. Moreover, it does not require the decision-maker to specify the attribute weights in advance. The results hence tend to be more objective. Examples comparing this method with existing TOPSIS-based methods illustrate its practicality. Show more

Keywords: Score function, fuzzy entropy, TOPSIS

DOI: 10.3233/JIFS-18963

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 1, pp. 625-635, 2019

Authors: Dinh Phu, Nguyen | Vinh An, Truong | Nhut Hung, Nguyen

Article Type: Research Article

Abstract: In this paper, by weakly contractive mappings in partially ordered metric space, we have proved problem of existence and uniqueness solution for delay interval-valued differential equations under generalized Hukuhara differentiability (DIDEs). We give also some examples being simple illustrations of this DIDEs.

Keywords: Partially ordered space, The metric Hausdorff metric space, Generalized Hukuhara differentiability, Delay interval-valued differential equations, Weakly contractive mapping

DOI: 10.3233/JIFS-18604

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 1, pp. 637-647, 2019