Journal of Intelligent & Fuzzy Systems - Volume 37, issue 2

Authors: Moghaddas, Mohammad | Tohidi, Ghasem

Article Type: Research Article

Abstract: This paper presents a new bi-level centralized resource allocation (CRA) model based on revenue efficiency which extends the classical revenue efficiency models to a more general case. In real world, there are large organizations like restaurant chains in which all the decision making units (DMUs) operate under the supervision of a central decision maker. In such intraorganizational scenario, the proposed bi-level model attempts to maximize the total revenue produced by all the DMUs and to minimize the reallocation cost in a hierarchical order under a centralized decision-making environment. Using the Karush-Kuhn-Tucker (KKT) conditions, the bi-level CRA model is reduced to …a one-level mathematical program with complementarity constraints (MPCC). According to optimization theory and some concepts of ordinary differential equations, a capable neural network is then developed to solve this one-level mathematical programming problem. Under proper assumptions and utilizing a suitable Lyapunov function, the proposed neural network is analyzed to be Lyapunov stable and convergent to an exact optimal solution of the original problem. Finally, some illustrative examples are elaborated to substantiate the applicability and effectiveness of the proposed approach. Show more

Keywords: Data envelopment analysis, centralized resource allocation, bi-level optimization, neural network, revenueefficiency

DOI: 10.3233/JIFS-182953

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2741-2756, 2019

Authors: Mahajan, Sumati | Gupta, S.K.

Article Type: Research Article

Abstract:  Quadratic programming is a special form of nonlinear programming and one of the most commonly used forms too. Linear programming is also none other than a particular case of quadratic programming. Ever-present impreciseness often makes way for natural inclination to fuzzy theory. In this paper, we intend to solve a quadratic programming problem (QPP) involving fuzzy parameters and fuzzy variables. We propose two approaches to solve such a QPP having not only fuzzy parameters in the objective function and constraints but fuzzy variables as well. This fully fuzzy QPP is eventually reduced to a crisp QPP and the solution is …obtained in the form of fuzzy variables, first directly and later by applying Karush- Kuhn Tucker conditions. The proposed methods are also illustrated by some numerical examples. Show more

Keywords: Quadratic programming, fuzzy parameters, fuzzy variables, KKT conditions, positive definite

DOI: 10.3233/JIFS-18692

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2757-2767, 2019

Authors: Hussain, Sadaf | Abbas, Sagheer | Sohail, Tanweer | Adnan Khan, M. | Athar, Atifa

Article Type: Research Article

Abstract:  Social network analysis for multi agent based models can support deeper and empirically grounded understanding of the activities as well as agent’s roles in the system. An agent may store and share information of its environment with other agents of the system. Implementing a secure communication setup, in accordance with requested information is significant to select appropriate recipient. In such state of affairs cognitive phenomena like trust plays a vital role. Agents when converse based on trust establish emotional ties of varying strength in their social network. This paper presents a trust based fuzzy inference model in multi agent system …by incorporating social relationships and contributes to analyze for cognitive agents for their roles as being influential, trustworthy and perilous. The model has also been implemented using Dempster Shafer Theory (DST) and the results are compared. Show more

Keywords: Trust, cognitive agent, socio-FIS, multi-agent models, dempster-shafer theory, trustworthiness

DOI: 10.3233/JIFS-18760

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2769-2784, 2019

Authors: Jana, Chiranjibe | Senapati, Tapan | Shum, K.P. | Pal, Madhumangal

Article Type: Research Article

Abstract: In this paper, the concept of quasi-coincidence of a bipolar fuzzy point within a bipolar fuzzy set is introduced. The notion of ∈-bipolar fuzzy soft set and q -bipolar fuzzy soft set is introduced based on a bipolar fuzzy set and characterizations for an ∈-bipolar fuzzy soft set and a q -bipolar fuzzy soft set to be bipolar fuzzy soft BCK /BCI -algebras are given. Also, the notion of (∈ , ∈ ∨ q )-bipolar fuzzy subalgebras and ideals are introduced and characterizes for an ∈-bipolar fuzzy soft set and q -bipolar fuzzy soft set to be a bipolar fuzzy soft BCK /BCI …-algebras are established. Some characterization theorems of these (∈ , ∈ ∨ q )-bipolar fuzzy soft subalgebras and ideals are derived. The relationship among these (∈ , ∈ ∨ q )-bipolar fuzzy soft subalgebras and ideals are also considered. Show more

Keywords: Bipolar BCK/BCI-algebra, soft set, ∈-bipolar fuzzy soft set, q-bipolar fuzzy soft set, (∈ , ∈ ∨ q)-bipolar fuzzy soft subalgebra/ideal

DOI: 10.3233/JIFS-18877

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2785-2795, 2019

Authors: Wu, Jian-Zhang | Beliakov, Gleb

Article Type: Research Article

Abstract: The main aim of this paper is to evoke more attentions on the dual concepts of k -maxitive capacity and k -maxitive aggregation, called k -minitive capacity and k -minitive aggregation by convention. We point out that possibility and necessity capacities, and k -tolerant and k -intolerant capacities are special cases of k -maxitive and k -minitive capacities. We also discuss some properties of k -minitive aggregation dual to those of the k -maxitive aggregation functions. For the purport of advocating the application of k -minitive and k -maxitive capacities, we finally present the mixed integer programming based identification method …and illustrate its steps and results through an example. Show more

Keywords: Fuzzy measure, k-minitive, k-maxitive, Capacity identification, Aggregation function

DOI: 10.3233/JIFS-190008

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2797-2808, 2019

Authors: Shan, Chuanhui | Guo, Xirong | Ou, Jun

Article Type: Research Article

Abstract:  Image denoising is a hot topic in many research fields, such as image processing and computer vision. With the development of deep learning, deep neural networks are widely used for image denoising and have achieved good effectiveness. Inspired by the characteristics of feed-forward denoising convolutional neural network (DnCNN) and biological neuron response, we propose a Symmetry-Rectifier Linear Unit (SyReLU) and further offer a corresponding SyReLU activation function, which has a better consistency with biological neuron characteristics in comparison with other activation functions, e.g. Rectifier Linear Unit (ReLU) and Leaky Rectifier Linear Unit(LReLU). Also, in order to denoise image, we use SyReLU …activation function for residual learning of CNN (e.g. DnCNN). Specially, the experimental results indicate DnCNN with SyReLU can achieve better effectiveness than DnCNN with other activation functions (e.g.ReLU and LReLU) for image denosing on Set12 and BSD68 datasets. Briefly, the proposed method plays an important role in the development of activation function and is very useful in deep neural networks for image denosing. Show more

Keywords: Image denoising, Symmetry-Rectifier Linear Unit, convolutional neural networks, SyReLU activation function, residual learning

DOI: 10.3233/JIFS-190017

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2809-2818, 2019

Authors: Wang, Ching-Hsin

Article Type: Research Article

Abstract: Quality function deployment (QFD) is a systematic approach by which to incorporate the needs of customers within the process of product development. Unfortunately, semantic ambiguity pertaining to “hesitation” tends to undermine the effectiveness of QFD (both the conventional as well as fuzzy versions). In this study, we developed a novel QFD evaluation model referred to as intuitive fuzzy QFD in which an intuitive fuzzy analytic hierarchy process is implemented in conjunction with data envelopment analysis with the aim of deriving a more objective presentation of human thought processes when dealing with multiple-attribute problems within the context of group decision-making. The …proposed model also takes into consideration cost limitations and difficulties associated with implementation. The practicality of the proposed model is demonstrated in a case study involving the design of machines for printing touch panels. In practice, this model can help the industrial develop and urge the promotion of design quality. Show more

Keywords: Product design, intuitive fuzzy, quality function deployment, analytical hierarchy process, data envelopment analysis

DOI: 10.3233/JIFS-190022

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2819-2833, 2019

Authors: Rodríguez, Roberto | Garcés, Yasel | Torres, Esley | Sossa, Humberto | Tovar, Rubén

Article Type: Research Article

Abstract:  Entropy has been used in many fields of computer vision, like image restoration, edge detection, pattern recognition, and as an evaluation method for image segmentation. The mean shift iterative algorithm (MSHi) was proposed in 2006, where the Shannon entropy was used as a stopping criterion. Later, it was introduced a theorem where this ensures, with a new stopping criterion, the convergence of the MSHi and determines what happens with the entropy at the limit of the segmentation process. The goal of this paper is carry out an analysis of the implications of this theorem and highlight the relation that were …found from a physical point of view with image segmentation and the information theory. This last aspect being the novel part of this work. Show more

Keywords: Shannon entropy, image segmentation, corollary, mean shift iterative algorithm (MSHi)

DOI: 10.3233/JIFS-190030

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2835-2845, 2019

Authors: Yu, Peiqiu | Wang, Hongkun | Li, Jinjin | Lin, Guoping

Article Type: Research Article

Abstract:  With the revolution of computing and biology technology, data sets containing information could be huge and complex that sometimes are difficult to handle. Dynamic computing is an efficient approach to solve some of the problems. Since neighborhood multigranulation rough sets(NMGRS) were proposed, few papers focused on how to calculate approximations in NMGRS and how to update them dynamically. Here we propose approaches for computing approximations in NMGRS and updating them dynamically. First, static approaches for computing approximations in NMGRS are proposed. Second, search region in data set for updating approximations in NMGRS is shrunk. Third, matrix-based approaches for updating approximations …in NMGRS while decreasing or increasing neighborhood classes are proposed. Fourth, incremental algorithms for updating approximations in NMGRS while decreasing or increasing neighborhood classes are designed. Finally, the efficiency and validity of the designed algorithms are verified by experiments. Show more

Keywords: Approximation computation, multigranulation rough set, knowledge acquisition, decision making

DOI: 10.3233/JIFS-190034

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2847-2867, 2019

Authors: Hamidi, Mohammad | Smarandache, Florentin

Article Type: Research Article

Abstract: This paper considers networks as wireless sensor (hyper)networks and social (hyper)networks by single–valued neutrosophic (directed)(hyper)graphs.The notion of single–valued neutrosophic hypergraphs are extended to single–valuedneutrosophic directed hypergraphs and conversely. We derived single–valued neutrosophic digraphs from single–valued neutrosophic directed hypergraphs via a positive equivalence relation. It tries to use single–valued neutrosophic directed hypergraphs and positive equivalence relation to create the sensor clusters and to access to cluster heads in wireless sensor (hyper)networks. Finally, the concept of α -derivable single–valued neutrosophic digraph is considered as the energy-efficient protocol of wireless sensor networks and is applied this concept as a tool in wireless sensor …(hyper)networks. Show more

Keywords: Single–valued neutrosophic directed (graphs)hypergraphs, positive equivalence relation, α-(semiself-self)derivable single–valued neutrosophic digraph, SN, WSN

DOI: 10.3233/JIFS-190036

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2869-2885, 2019