Journal of Intelligent & Fuzzy Systems - Volume 34, issue 1

Authors: Shojaie, Amir Abbas | Raoofpanah, Hossein

Article Type: Research Article

Abstract: Nowadays, one of the most challenging issues for firms, organizations and factories is transportation problems. Major of annual costs is related to these problems. Besides, according to the importance of environmental issues and strict laws for protecting the environment, organizations and firms ought to find the most economical and cleaner ways of transportation. In this paper, we optimized a two-objective fuzzy transportation problem simulated by multi-objective linear integer fuzzy programming technique. The existing fuzzy parameters (transportation costs, demands and supply quantities) are considered triangular fuzzy numbers. The Jimenez method used for Defuzzification the fuzzy model. In addition to principal constraints …of transportation problems, the constraints of real-world such as vehicles’ capacity and most shipping time are also included. In order to solve the fuzzy transportation problem, simulated annealing (SA) approach and non-dominated sorting genetic algorithm (NSGA-II) (which has rarely been used) implemented. The results of solving some test problems created in different sizes show that both methods are capable of finding Pareto solutions in a quick time. The results of the comparison between the named algorithms prove that the SA algorithm comes up with more Pareto solutions with better quality in a shorter time than NSGA-II. Show more

Keywords: Green transportation problem, multi-objective linear integer mathematical programming, simulated annealing (SA), non-dominated sorting genetic algorithm (NSGA-II), Jimenez method

DOI: 10.3233/JIFS-161584

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 1, pp. 1-10, 2018

Authors: Yang, Shao-Jun | Shi, Fu-Gui

Article Type: Research Article

Abstract: In this paper, the notions of independence spaces and matroids as special convexity spaces are generalized to fuzzy setting, which are called M -fuzzifying independence spaces and M -fuzzifying matroids, respectively. Some properties of M -fuzzifying closure operators and M -fuzzifying convex hull operators are discussed. By those properties and the notion of strong M -fuzzifying independence spaces, the relation between M -fuzzifying independence spaces and M -fuzzifying matroids is established.

Keywords: M-fuzzifying closure operators, M-fuzzifying convex hull operators, M-fuzzifying independence spaces, M-fuzzifying matroids

DOI: 10.3233/JIFS-162150

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 1, pp. 11-21, 2018

Authors: Falehi, Ali Darvish

Article Type: Research Article

Abstract: A robust device and controller is remarkably imperative to be engaged in the affected power system caused by serious disturbance in order to suppress the power system oscillations. Flexible AC Transmission Systems (FACTS) are such the devices which can play a key role to improve the overall dynamic performance of power system. Thyristor Controlled Series Capacitor (TCSC) is a kind of series FACTS device which can rapidly change its apparent reactance in accordance with the power system requirements. On the other hand, a supplementary controller must be recruited to stabilize and suppress the serious power system oscillation over a wide …range of loading conditions. In this regard, accomplished endeavors are led to suggest a robust Power Oscillation Damper (POD) based on Adaptive Neuro Fuzzy Inference System (ANFIS) for TCSC. Meanwhile, Multi Objective Particle Swarm Optimization (MOPSO) owing to high performance in solving non-linear objectives has been applied to unravel the optimization problem and optimal tune the suggested apparatus so-called TCSC-ANFIS-POD. The potency of this controller has been deeply inspected and compared with Conventional POD (CPOD) by considering three loading conditions. Eventually, the acquired results corroborate the robustness of TCSC-ANFIS-POD as compared with TCSC-CPOD in order to enhance the power system dynamic stability. Show more

Keywords: TCSC-ANFIS-POD, MOPSO, power system dynamic stability, simultaneous scheme, loading conditions

DOI: 10.3233/JIFS-16241

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 1, pp. 23-34, 2018

Authors: Liu, Shuli

Article Type: Research Article

Abstract: Sometimes, people are prone to describe objects with natural languages including words and sentences, so it is useful to compute with words. However, it is obvious that words mean different to different people. Hence, linguistic information must be transformed into numerical forms before aggregation. To deal with this problem, we propose a novel transforming method based on sample survey. Firstly, through survey questionnaire, we collect the numerical data corresponding to each word. Then, we preprocess the collected data to remove those invalid or unreasonable points. Meanwhile, fuzzy sets are valid to present uncertainty, and the triangular fuzzy sets are the …simplest one, which can capture the similarity and dissimilarity to the same word from different people. Therefore, based on means and deviations of the remaining data, we ultimately encode the linguistic terms into triangular fuzzy sets and establish the codebooks. The feasibility and effectiveness are illustrated through an application in the MADM problem about shopping online recommendation from real life. Show more

Keywords: Sample survey, fuzzy numbers, MADM, online shopping recommendation

DOI: 10.3233/JIFS-16938

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 1, pp. 35-45, 2018

Authors: Zhao, Xiao | Xia, Xuhui | Yu, Guodong

Article Type: Research Article

Abstract: The ever-changing demands lead to the challenge of designing a proper buyback contract of a reverse supply chain. In this paper, we propose a buyback contract model accounting for the fuzzy random demands with different risk attitudes, i.e., pessimistic, optimistic, or risk-neutral. We design the feasible set for coordination by adjusting buyback contract parameters according to the analysis of retailer profitability with multiple choices. Our models show that random demands may lead to the failure of original buyback contract, and dynamic modifications should be executed based on the proposed benefit models to remain the coordination. The results show that our …model can allocate total benefits more fairly and keep the supply chain system stable by updating the buyback contract. Show more

Keywords: Reverse supply chain coordination, buyback contract, fuzzy random demands, risk attitudes

DOI: 10.3233/JIFS-17008

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 1, pp. 47-56, 2018

Authors: Karaaslan, Faruk | Davvaz, Bijan

Article Type: Research Article

Abstract: In this study, we introduce some new concepts related to single-valued neutrosophic graphs such as homomorphism, isomorphism, weak isomorphism and co-weak isomorphism, and define arithmetic Cartesian product, arithmetic direct product, and arithmetic lexicographical product operations on single-valued neutrosophic graphs with their examples. We also introduce intersection and union operations of single-valued neutrosophic graphs, and give some examples related to these operations. Furthermore we define two types of addition between two single-valued neutrosophic graphs based on union operation and summation operation of single valued neutrosophic numbers. Finally we present an application of single-valued neutrosophic graphs in decision making.

Keywords: Single-valued neutrosophic sets, single-valued neutrosophic relation, single-valued neutrosophic graphs, product operations, homomorphism, isomorphism

DOI: 10.3233/JIFS-17009

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 1, pp. 57-79, 2018

Authors: Farahani, Hadi

Article Type: Research Article

Abstract: We define a meta-type (MFTM) of Fuzzy Turing Machines (FTM) in which the transitions can take dynamic degrees corresponding with the input. The advantage of MFTM over other FTMs previously defined in the literature is that, by applying the dynamic degrees of transitions, it can resolve a deficiency in recognizing the fuzzy languages where their elements have arbitrary different non-crisp degrees. This results in recognizing a larger class of fuzzy languages than the other FTMs. Also, we establish a fuzzy theory of computational complexity and introduce two complexity classes FP and FNP for fuzzy polynomial time-bounded (deterministic and non-deterministic) computations. …We propose fuzzy variants of three problems namely, finding a path (PATH) and a Hamiltonian path (HAMPATH) in a digraph and SAT problem. We show that the fuzzy variant of PATH is in FP while the ones of SAT and HAMPATH are in FNP. We introduce the class of FNP-complete problems and show that fuzzy variants of SAT, 3-SAT and HAMPATH are FNP-complete. Show more

Keywords: Fuzzy Turing Machine, Meta fuzzy Turing Machine, fuzzy reducibility, fuzzy complexity, fuzzy SAT, fuzzy HAMPATH

DOI: 10.3233/JIFS-17017

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 1, pp. 81-92, 2018

Authors: Cao, Buwen | Deng, Shuguang | Luo, Jiawei | Ding, Pingjian | Wang, Shulin

Article Type: Research Article

Abstract: The identification of overlapping protein complexes in proteinprotein interaction (PPI) networks may elucidate cellular functional organizations and their underlying cellular mechanisms. Recently, many protein complex mining algorithms have been developed for PPI networks. However, the majority of available algorithms primarily depend on mining dense subgraphs as protein complexes, thereby failing to consider the inherent biological meanings between protein pairs. Thus, methods for identifying protein complexes using the biological significance hidden in edges need to be investigated. In this paper, we propose IK-medoids, an improved method that detects overlapping protein complexes from weighted PPI networks based on the rough fuzzy relationships …between protein pairs. The presented algorithm is primarily based on the fuzzy relationship that obtains the non-overlapping protein substructure, and then K-medoids is executed from the proteins in the PPI network. Next, the similarity between one protein and each candidate complex is calculated to determine whether the protein belongs to one or multiple complexes with the ration of each similarity to maximum similarity. In the end, overlapped protein complexes are merged to form the final protein complexes. We apply the method to three PPI networks and validate the results using two reference protein complexes retrieved from public databases. Experimental results show that our method outperforms classical algorithms, such as ClusterONE, CMC, MCL, OSLOM, and RFC, and achieves ideal overall performance in terms of F-measure, sensitivity, and accuracy. Show more

Keywords: PPI, protein complex, overlapping, K-medoids, Fuzzy relation

DOI: 10.3233/JIFS-17026

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 1, pp. 93-103, 2018

Authors: Cao, Wenbin | Jia, Xisheng | Liu, Yu | Hu, Qiwei

Article Type: Research Article

Abstract: This paper addresses a selective maintenance optimization problem for a fuzzy multi-state system composed of fuzzy multi-state elements. Due to insufficient data and unpredictable external working conditions, both the performance capacity and states transition intensities of multi-state elements cannot be known precisely, but are represented by fuzzy numbers. Additionally, both the durations of a break and a succeeding mission are also treated as fuzzy values. To maximize the fuzzy probability of a system successfully completing a succeeding mission, a selective maintenance model is proposed to identify an optimal subset of maintenance activities to be performed on some elements in the …system. A solution algorithm containing three rules to eliminate inferior solutions and narrow down elements’ states combinations is proposed to resolve the new selective maintenance model in a computationally efficient manner. An illustrative example of an archibald is presented to demonstrate the effectiveness of the proposed model. Show more

Keywords: Selective maintenance, fuzzy multi-state system (FMSS), fuzzy multi-state element (FMSE), fuzzy mission, fuzzy Markov model (FMM), fuzzy universal generating function (FUGF)

DOI: 10.3233/JIFS-17031

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 1, pp. 105-121, 2018

Authors: Khameneh, Azadeh Zahedi | Kilicman, Adem | Salleh, Abdul Razak

Article Type: Research Article

Abstract: Intuitionistic fuzzy soft set (IFSS ) provides more efficient and flexible tool than ordinary fuzzy soft set (FSS ) to express decision makers’ opinions in real-world decision problems. Until now, different researchers have designed different algorithms for ranking objects in order to select the best option in group decision-making problems under intuitionistic fuzzy soft environment. In this paper, an adjustable algorithm is developed to handle the problem of group decision-making based on a preference relationship of IFSSs . The effectiveness of this approach in comparison with some existing methods is also demonstrated. To achieve the higher level of compatibility with …the real-world problems, the proposed algorithm here is extended to the weighted case. Show more

Keywords: Fuzzy soft set, intuitionistic fuzzy soft set, weighted intuitionistic fuzzy soft set, preference relationship, multi-attribute group decision-making

DOI: 10.3233/JIFS-17089

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 1, pp. 123-139, 2018