Journal of Intelligent & Fuzzy Systems - Volume 35, issue 3

Authors: Haining, Kong | Hejun, Fan | Yan, Zhao | Chunjuan, Zhai | Chen, Zhang | Yajun, Han

Article Type: Research Article

Abstract: Teaching quality evaluation is important to improve teaching quality in universities. Fuzzy comprehensive evaluation is a comprehensive method of qualitative analysis and quantitative analysis. It has been widely applied in social life, economic management and engineering technology. The scientific practice has proved that the rational distribution of the weight factors and the selection of the evaluation model directly affect the accuracy and reliability of the fuzzy comprehensive evaluation results. How to determine the weight of multiple indicators into a single index is the focus of the present study. The simulation results show that the parameters of the gaussian kernel function …optimization method designed in this article has strong advantages. Also, the results show that the algorithm presented in this paper can accurately reflect the quality of teaching quality, and at the same time realize the accurate determination of the weight of teaching quality evaluation index. Show more

Keywords: Support vector machine, big data analytics, gaussian kernel function, teaching quality evaluation, parameter optimization

DOI: 10.3233/JIFS-169663

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3091-3099, 2018

Authors: Qian, Xiaoduo | Liu, Wei | Yang, Jiaquan

Article Type: Research Article

Abstract: The technology adoption of a firm is endowed with complexity if the production technology upgrades continually and the price competition become intensified. This paper establishes a supply chain involving one technology supplier and two manufacturing enterprises. The supplier provides a kind of production technology and offers its upgraded versions for enterprises to produce products. On this basis, this paper studies the problem that whether or not to buy this kind of production technology in the perspective of each enterprise, explores the problem that when to buy an upgraded version of production technology in the perspective of each enterprise, and analyzes …the price competition between two kinds of products. The results show that the asymmetric Nash equilibrium can effective avoid the prisoner’s dilemma of technology investment, and help to maximize the interest of the social welfare system that includes the technology supplier, manufacturing enterprises and consumers. Show more

Keywords: Asymmetric nash equilibrium, duopoly, technology adoption, bertrand game, social welfare

DOI: 10.3233/JIFS-169664

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3101-3111, 2018

Article Type: Other

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3113-3113, 2018

Authors: Dai, Ying | Zhang, Nian | Ma, Zu-Jun

Article Type: Research Article

Abstract: The multiple attribute group decision making (MAGDM) problem, in which both the attribute weights and the expert weights are correlated and the attribute values take the form of interval grey linguistic (IGL) variables, is investigated in this paper. First, based on the relative concepts of IGL variables and the operation rules between IGL variables, two new aggregation operators are developed, which are the interval grey linguistic correlated ordered geometric (IGLCOG) operator and the induced interval grey linguistic correlated ordered geometric (I-IGLCOG) operator. Then, some desirable properties of the I-IGLCOG operator are studied, such as commutativity, idempotency, monotonicity and boundedness. Next, …the IGLCOG and I-IGLCOG operator-based approaches are developed to solve the abovementioned MAGDM problem. Finally, an illustrative examples are given to verify the developed approach and demonstrate its practicality and effectiveness. Show more

Keywords: Multiple attribute group decision making, interval grey linguistic variables, interval grey linguistic correlated ordered geometric operator, induced interval grey linguistic correlated ordered geometric operator

DOI: 10.3233/JIFS-151452

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3115-3123, 2018

Authors: Pourjavad, Ehsan | Mayorga, Rene V.

Article Type: Research Article

Abstract: An efficient reverse logistics structure plays an important role in improving market competitiveness. The complexity of reverse logistics operations, customer service improvement, and costs elimination highlight the necessity of reverse operations outsourcing to the third-party reverse logistics providers (3PRLPs). Investigating and selecting an appropriate 3PRLP is recognized as a significant issue by manufacturers. This problem is affected by uncertainty, basically due to the vagueness intrinsic to the assessment of qualitative factors. This paper aims to propose a structured approach to prioritizing 3PRLPs based on sustainability criteria under fuzzy environment which accommodate the uncertainty associated with the vagueness of qualitative criteria. …The proposed approach is composed of two main steps in which the first step employed the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) to select the effective criteria and the second step used Mamdani Fuzzy Inference System (FIS) model to cope with the vagueness that exists in the 3PRLPs evaluation process. If-then scenarios are employed to design rules of a FIS model which are devised by experts. The Experts’ knowledge about the problem is incorporated into the FIS system. This is a significant benefit of the proposed approach, in comparison with approaches which incorporate fuzzy set theory with multi-criteria decision-making models. An industrial case study is conducted to highlight the real-life applicability of the proposed approach. In addition, a sensitivity analysis is performed to confirm the robustness. Show more

Keywords: Third-party reverse logistic provider, sustainability, fuzzy inference system, prioritising

DOI: 10.3233/JIFS-171069

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3125-3138, 2018

Authors: Zhao, Hu | Zhang, Hong-Ying

Article Type: Research Article

Abstract: Smarandache (1998) initiated neutrosophic sets as a new mathematical tool for dealing with problems involving incomplete, indeterminant and inconsistent knowledge. By simplifying neutrosophic sets, Smarandache (1998) and Wang et al. (2010) proposed the concept of single valued neutrosophic sets and studied some properties of single valued neutrosophic sets. Recently, Bao and Yang (2017) introduced n -dimension single valued neutrosophic refined rough sets by combining single valued neutrosophic refined sets with rough sets and further studied the hybrid model from two perspectives–constructive viewpoint and axiomatic viewpoint. A natural problem is: Can the supremum and infimum of n -dimension single valued neutrosophic …refined rough approximation operators be given? Following the idea of Bao and Yang, in this paper, let X be a set, H n (X ) and L n (X ) denote the family of all n -dimension single valued neutrosophic refined upper and lower approximation operators in X , respectively. We can define appropriate order relation ≦ on H n (X ) (resp., L n (X )) such that both (H n (X ), ≦) and (L n (X ), ≦) are complete lattices. In particular, both (H , ≦) and (L , ≦) are complete lattices, where H and L denote the family of single valued neutrosophic upper and lower approximation operators in X , respectively. Show more

Keywords: Single valued neutrosophic refined rough relations, single valued neutrosophic refined lower approximation operators, single valued neutrosophic refined upper approximation operators, complete lattices

DOI: 10.3233/JIFS-171122

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3139-3146, 2018

Authors: Ren, Tao | Liu, Miao-Miao | Xu, Yan-Jie | Wang, Yi-Fan

Article Type: Research Article

Abstract: In this paper, the prediction of damage results for complex network is considered under grey information attack. Firstly, in order to construct more realistic networks, a new algorithm is proposed to generate 3 types of fully connected networks (normal scale-free network, scale-free network with cutoff, random network). Secondly, robustness of the 3 networks is analyzed under grey information attack. And then, a new method is proposed to predict the damage results by training the BP neural network. Thirdly, the effects of different topological parameters on the damage results are analyzed and a new method is proposed to find central nodes …of the network. Finally, the damage results of a real bus network under grey information attack are predicted by the proposed method and several suggestions are given to help protect the real bus network. Show more

Keywords: Complex network, damage result prediction, BP neural network, grey information attack, urban bus network

DOI: 10.3233/JIFS-17121

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3147-3162, 2018

Authors: Dehghan, Omid Reza

Article Type: Research Article

Abstract: The aim of this paper is the study of fuzzy quotient hypervector spaces. In this regards several kinds of fuzzy quotient hypervector spaces are introduced, according many approaches. Also, the relationship between these definitions is studied. In particular, it is investigated when these concepts are equivalent.

Keywords: Hypervector space, quotient hypervector space, fuzzy subhyperspace, fuzzy quotient hypervector space

DOI: 10.3233/JIFS-171262

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3163-3170, 2018

Authors: Shahbeig, Saleh | Rahideh, Akbar | Helfroush, Mohammad Sadegh | Kazemi, Kamran

Article Type: Research Article

Abstract: RNA-sequencing technology helps to consider the expression of thousands of genes, simultaneously. The large-scale gene expression data include a huge number of genes versus a few samples. Therefore, the algorithms that among huge number of unrelated genes can accurately detect genes associated with specific disease can be useful for experts in early detect and treat the disease. A two-phase search algorithm is proposed in this paper to discover the biomarkers in the RNA-seq gene expression dataset for the prostate cancer diagnosis. After statistical noise removing from the original large-scale dataset, a multi-objective optimization process is proposed to select the …best non-dominated subset of genes with the maximum classification accuracy and the minimum number of genes, simultaneously. Finally, the proposed cache-based modification of the sequential forward floating selection (CMSFFS) algorithm is applied to the selected subset of genes to discover the most discriminant genes. The obtained results show that the proposed algorithm is able to achieve the classification accuracy , sensitivity and specificity of 100% in the large scale RNA-seq prostate cancer dataset by selecting only three biomarkers. Show more

Keywords: RNA-seq, large-scale prostate cancer data, two-phase search algorithm, multi-objective-based optimization, CMSFFS

DOI: 10.3233/JIFS-171297

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3171-3180, 2018

Authors: Gu, Min-Qiang | Wang, Pei-Zhuang

Article Type: Research Article

Abstract: This paper defines the similarity degree of fuzzy sets with bi-implication. Based on this definition, a new fuzzy inference method, namely guaranteed similarity-degrees inference method (GSI method) is proposed. Considering the FMP problem, four kinds of calculation formulas of GSI method are exhibited. Fuzzy reasoning formulas based on the new method with the commonly used implications are discussed. As an illustration of its effectiveness, the proposed method is implemented to some numerical examples from aggregate production planning. Moreover, the authors show that under certain conditions the commonly used fuzzy reasoning methods such as the CRI method, the triple I method, …and the FRI method (which based on ∧ -→ composition) all belong to GSI method, the Turksen’s AARS (the approximate analogical reasoning schema) is a partial approximation of the GSI method, and the Raha’s method is a special case of the GSI method. The proposed method is of good property to distinguish the input conditions, and its weighted mode provides the algorithm with a wide range of adaptability and flexibility and facilitates the model optimization. Show more

Keywords: Similarity degree, implication operator, GSI method

DOI: 10.3233/JIFS-171404

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3181-3194, 2018