Journal of Intelligent & Fuzzy Systems - Volume 34, issue 6

Authors: Sheverini, Tayebeh | Paripour, Mahmoud | Karamikabir, Nasrin

Article Type: Research Article

Abstract: In this work, the collocation method to solve fuzzy Volterra integral equations is introduced. Then, solving these systems by collocation method with Bernoulli polynomials is presented. Also, we will discuss the convergence of this method. In addition, the superiority of this method compared to other methods is proved, by solving of some systems of fuzzy Volterra integral equations.

Keywords: Collocation method, Bernoulli polynomials, systems of fuzzy Volterra integral equations, convergence

DOI: 10.3233/JIFS-171557

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 4113-4125, 2018

Authors: Akram, Muhammad | Shahzadi, Gulfam

Article Type: Research Article

Abstract: An m -polar fuzzy model is a generalization of the fuzzy model. This model is useful for multi-polar information, multi-agent, multi-attribute and multi-object network models. In this research study, we introduce the notion of m -polar fuzzy directed hypergraphs, and present some properties. We depict certain operations on m -polar fuzzy directed hypergraphs. We also consider an application of m -polar fuzzy directed hypergraphs in business strategy company.

Keywords: m-polar fuzzy set, directed m-polar fuzzy hypergraph, decision-making

DOI: 10.3233/JIFS-171560

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 4127-4137, 2018

Authors: Mao, Hua | Miao, Hui-Ru

Article Type: Research Article

Abstract: An attribute reduction can make the structure of concept lattices more convenient in formal fuzzy contexts. Thereby, it is beneficial to discover the knowledge. Based on the notion of “one-side fuzzy concept”, we propose a method of attribute reduction combining with the directed graph theory. Employing the proposed approach, a judgment theorem is given for determining concepts and irreducible elements in formal fuzzy contexts. According to the significance of attributes, these attributes are classified three types: core attributes, relatively necessary attributes and unnecessary attributes, which are referred to the attribute characteristics. Applying with the directed graph, We propose the judgment …theorems and the corresponding algorithms for computing the three types of attributes sets. On this basis, a corresponding method of attribute reduction is given in a fuzzy-crisp formal context. The feasibility and effectiveness of the algorithm has been proved via an example. The approach presents a mew method for knowledge reducible in formal fuzzy contexts. Show more

Keywords: Formal fuzzy contexts, irreducible elements, attribute characteristics, attribute reduction, directed graph

DOI: 10.3233/JIFS-171697

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 4139-4148, 2018

Authors: Hassan, Yasser F.

Article Type: Research Article

Abstract: Machine translation is one of the parts of language processing within linguistic computing for automatic translation from one language to another. The paper introduces one of the most critical areas of soft computing and natural language processing, i.e. machine translation technique that is based on deep model structure of rough sets with capability to transfer learning. A deep rough set learning is developed to support machine translation to recognize and translate tens of thousands of words/sentences automatically. To our knowledge, this is the first attempt aiming to use rough sets in machine translation rather than Arabic language translation. A deep …information table is learned by assigning the morphemes-similar objects with similar learning complexities into same class and it can identify the inter-related learning tasks automatically. To account for the differences among source-languages domains, we proposed a partial transfer learning scheme in which only part of source information is transferred. The experiments have demonstrated that the proposed model can achieve competitive results and significantly outperformed other methods for translation on both accuracy rates and the efficiency for machine translation. Show more

Keywords: Rough sets, deep learning, transfer learning, English to Arabic Translation, rough neural networks

DOI: 10.3233/JIFS-171742

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 4149-4159, 2018

Authors: Gulistan, Muhammad | Yaqoob, Naveed | Vougiouklis, Thomas | Abdul Wahab, Hafiz

Article Type: Research Article

Abstract: Cubic sets are generalized version of fuzzy sets, in which there are two representations, one is used for the degree of membership and other is used for the degree of non-membership. Membership function is handled in the form of intervals while non-membership is handled through ordinary fuzzy sets. Since the invention of fuzzy set many researchers applied this notion to different algebraic structures. Mostly, they focus on the associative structures. Here we concentrate on a useful non associative structure known as Hv -LA-semigroup. Using this idea, we characterize an Hv -LA-semigroup in terms of cubic ideals. We study …the idea of cubic equivalence relations, cubic regular relations in Hv -LA-semigroups and provide some related results. Show more

Keywords: Hv-LA-semigroups, cubic sets, cubic ideals, cubic relations, cubic regular relations.

DOI: 10.3233/JIFS-171744

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 4161-4172, 2018

Authors: Bi, Lvqing | Hu, Bo | Li, Sizhao | Dai, Songsong

Article Type: Research Article

Abstract: Complex fuzzy sets have been successfully applied to many domains. In some applications, complex fuzzy operators play an vital role, especially those results depend on the particular choice of the conjunction, disjunction and complement operators. This paper introduces an equivalence relation on complex fuzzy sets, called parallelity. Then we provide a criterion that operators should satisfy the property of parallelity preserving, for the choices of complex fuzzy operators. Finally, several parallelity preserving inference methods are discussed for complex fuzzy reasoning.

Keywords: Parallelity, parallelity preserving operators, complex fuzzy sets, complex fuzzy operators, complex fuzzy inference

DOI: 10.3233/JIFS-171813

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 4173-4180, 2018

Authors: Kır, Sena | Yazgan, Harun Resit

Article Type: Research Article

Abstract: Decision makers can be irresolute evaluating an alternative according to a criterion. In such cases, it is best to consider the hesitancy rather than force the decision maker to make a clear evaluation. This paper focused on how to use a fuzzy axiomatic design technique considering hesitancy. Especially, it was discussed whether triangular hesitant fuzzy numbers defined in the literature were suitable for fuzzy axiomatic design technique. Also the paper contained a humanitarian relief project in terms of the post-natural disaster temporary housing location selection problem. When a natural disaster occurs, temporary housing should be established in order to provide …the life safety of natural disaster victims and support them. The main objective of this problem was to determine the best location that would meet requirements of the disaster victims as soon as possible and smoothly. In the case study of this paper, the best temporary housing location was determined in the event of a natural disaster in a city which locates on the North Anatolian Fault Line. The fuzzy axiomatic design technique was used considering hesitancy to make a choice between candidate locations in the City. Show more

Keywords: Multi-criteria decision-making, decision-making under hesitancy, hesitant fuzzy axiomatic design, humanitarian relief, temporary housing location

DOI: 10.3233/JIFS-171872

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 4181-4189, 2018

Authors: George, K. Shalu | Sivanandan, K.S. | Mohandas, K.P.

Article Type: Research Article

Abstract: Disability badly affects the performance of daily activities of a person thereby degrading the quality of his life. Physical rehabilitation can help restoration of the physical functions of such persons to a great extent. Numerous research are being performed for developing muscle models capable of estimating torque, joint angles, force, velocity etc. especially for upper and lower limb kinematics. This paper proposes three models for estimating elbow angle namely, Average Value model, a feed forward back-propagation neural network model and a Non-linear Auto-Regressive with eXogenous input (NARX) neural network model. All these models are studied with the sEMG signals acquired …from the biceps brachii muscles of ten healthy subjects. The linear envelope of the signal is utilized for constructing two time domain features which serve as inputs to the models. The output of the models is the estimated elbow angles corresponding to the human intention identified from the sEMG signals. Regression coefficient values and Root mean square error values are considered for evaluating the accuracies of the models. The results obtained show that the models can be effectively used for implementation in control of human limb prosthetics and assistive devices. Show more

Keywords: Surface electromyogram (sEMG), elbow kinematics estimation, average value model, non-linear auto-regressive with eXogenous input (NARX) neural network, rehabilitation

DOI: 10.3233/JIFS-171893

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 4191-4201, 2018

Authors: Ye, Jun

Article Type: Research Article

Abstract: In some decision situations, decision makers sometimes cause this difficult problem with a few different single-valued neutrosophic values assigned by truth, indeterminacy, and falsity degrees due to decision makers’ hesitancy. Then, a single-valued neutrosophic hesitant fuzzy set (SVN-HFS) can express the hesitant information. Under a single-valued neutrosophic hesitant fuzzy environment, this paper introduces the extension method based on least common multiple cardinality for single-valued neutrosophic hesitant fuzzy elements (SVN-HFEs) and proposes the distance and similarity measures of SVN-HFSs. Then, we develop a multiple attribute decision-making (MADM) method by using the proposed similarity measure of SVN-HFSs. Finally, an illustrative example of …investment alternatives is given to demonstrate the application and feasibility of the developed approach. The main advantage of the developed method is that it is more objective and more universal than the existing ones. Show more

Keywords: Single-valued neutrosophic hesitant fuzzy set, least common multiple cardinality, distance measure, similarity measure, decision making

DOI: 10.3233/JIFS-171941

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 4203-4211, 2018

Authors: Abdel-Basset, Mohamed | Zhou, Yongquan | Mohamed, Mai | Chang, Victor

Article Type: Research Article

Abstract: Since the emergence of digital revolution, many governments have sought to use the internet for the benefits of communication and information easiness to present public services. Due to citizen’s consciousness of internet, the online public services have increased rapidly. Allowing citizens to entrance governmental services, information and participate in governmental decision making process, called the electronic government. In recent years, various e-government websites have increased. Beside the basic lines for e-government websites design process, the evaluation approach also very important for increasing sites quality. The success of these sites depends largely on their quality, security and accessibility. This research provides …a multi-criteria group decision making (MCGDM) technique rely on neutrosophic VIKOR method, for evaluating e-government websites. To represent preferences of decision makers about criteria significance weights and performance assessments, triangular neutrosophic numbers are used for representing linguistic variables. In this research, two algorithms are developed based on a neutrosophic linguistic approach. Depending on two algorithms and the VIKOR method, a general framework is proposed. A case study is presented to validate the proposed framework, and a comparative study between two algorithms is illustrated with detail. Show more

Keywords: E-government, ICTs, MCDM, neutrosophic VIKOR, website evaluation, linguistic variables

DOI: 10.3233/JIFS-171952

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 4213-4224, 2018