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

Authors: Yan, Xiong | Li, Wenzhao

Article Type: Research Article

Abstract: The Maclaurin symmetric mean (MSM) was originally introduced by Maclaurin. The prominent characteristic of the MSM is that it can capture the interrelationship among the multi-input arguments. However, the researches on MSM are very rare, especially in fuzzy decision making. In this paper, we investigate the MSM operator and extend the MSM operator to hesitant fuzzy environment and develop the hesitant fuzzy Maclaurin symmetric mean (HFMSM) operator and hesitant fuzzy weighted Maclaurin symmetric mean (HFWMSM) operator. Based on HFWMSM operator, an approach to multiple attribute decision making problems with hesitant fuzzy information is developed. Finally, an illustrative example for quality …assessments of Yellow soil aggregate of tea garden is given to verify the developed approach and to demonstrate its practicality and effectiveness. Show more

Keywords: Hesitant fuzzy sets, operational laws, hesitant fuzzy Maclaurin symmetric mean (HFMSM) operator, hesitant fuzzy weighted Maclaurin symmetric mean (HFWMSM) operator, quality assessments, yellow soil aggregate of tea garden

DOI: 10.3233/JIFS-179270

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2067-2073, 2019

Authors: Cheng, Tian-E. | Wang, Jun | Zhang, Du-Juan | Cao, Ming-Ming

Article Type: Research Article

Abstract: Recently, the TODIM (an acronym in Portuguese for Interactive Multi-criteria Decision Making) approach, which can characterize the decision makers’ psychological behaviors under risk, has been introduced to handle multiple attribute decision making (MADM) problems. Moreover, 2-tuple linguistic term set is an effective tool for depicting uncertainty of the MADM problems. In this paper, we will extend the TODIM method to the MADM with the 2-tuple linguistic information. Firstly, the definition and distance of 2-tuple linguistic information are briefly introduced, and the steps of the classical TODIM method for MADM problems are presented. Then, on the basis of the classical TODIM …method, the extended TODIM method is proposed to deal with MADM problems in which the attribute values are in the 2-tuple linguistic information, and its significant characteristic is that it can fully consider the decision makers’ bounded rationality which is a real action in decision making. Finally, a numerical example for evaluating the service quality of boutique tourist scenic spot is proposed to verify the developed approach and its practicality and effectiveness. Show more

Keywords: Multiple attribute decision making, 2-tuple linguistic variables, TODIM method, prospect theory, service quality

DOI: 10.3233/JIFS-179271

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2075-2083, 2019

Article Type: Other

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2085-2085, 2019

Authors: Huang, Wen-Jing | Li, Yi-Hua | Xu, Kang-Kang

Article Type: Research Article

Abstract: The probabilistic fuzzy set (PFS) is designed for handling uncertainties with both fuzzy and stochastic nature, so the probabilistic fuzzy logic system (PFLS) has the ability to handle more complex uncertainties in process. In this paper, the general probabilistic fuzzy set is proposed, and the convergence analyses of its secondary probability density function (PDF) are conducted. It discloses the distribution regularity of membership degree in general PFS, which improves the information and interpretability of PFS. Then, according to convergence, a new method to tuning parameters for PFLS is proposed. This method avoids the parameters into local inefficiency, and also reduces …the number of learning parameters in PFLS. Last, the new tuning method is applied to the electromyography (EMG) robots modeling problem. The comparison shows that the probabilistic fuzzy logic system based on general PFS (GPFLS) can achieve a simple modeling process, and also, it improves the learning speed compared to PFLS. The work presented will improve the potential application of probabilistic fuzzy logic system. Show more

Keywords: General probabilistic fuzzy set, secondary PDF, probabilistic fuzzy logic system, EMG robots

DOI: 10.3233/JIFS-171121

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2087-2100, 2019

Authors: Liu, Shiliang | Li, Wenping

Article Type: Research Article

Abstract: The risk assessment of roof water inrush is of great significance for sustainable development of mine and ecological environment. Taking the Jurassic coalfield in northwest China as an engineering background, we firstly selected nine indexes influencing roof water inrush based on three essential conditions with the water source, the water inrush channel and the mining space, i.e., unit water inflow, flushing fluid consumption, aquifer thickness, effective aquiclude thickness, lithological association of the effective aquiclude, inclined length of coalface, buried depth of coal seam, mining thickness and advancing speed of coal mining, and then established the hierarchy structure model for mutation …evaluation of roof water inrush. Secondly, the expert scoring method and trapezoidal fuzzy distribution were chosen to construct the initial fuzzy membership function based on the characteristics with fuzziness and mutability of roof water inrush. Thirdly, based on quantized recursion operation with the normalization formula and the (non) complementarity principle, total mutation membership function value was calculated, and the water inrush risk grade was determined. Eventually, the proposed method has successfully predicted the water inrush risk in the first mining face of Jinjitan coal mine. The research achievements provide an important reference for the sustainable development of the Jurassic coalfield. Show more

Keywords: Jurassic coalfield, risk evaluation of roof water inrush, the mutation theory, fuzzy analysis, sustainabledevelopment

DOI: 10.3233/JIFS-171157

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2101-2111, 2019

Authors: Cheng, Xiaoyun | Xin, Xiaolong | Saeid, Arsham Borumand | He, Xiaoli

Article Type: Research Article

Abstract: In this paper, we introduce the co-annihilator ⊥ A of a set A and the co-annihilator of (F  : a ) of a relative to a prefilter (filter) F in an EQ-algebra ɛ . We investigate related properties of them, and obtain that the lattice of all prefilters PF ( ɛ ) forms a pseudo-complemented lattice and the collection of all co-annihilators COA ( ɛ ) forms a Boolean algebra in a separated EQ-algebra ɛ . Moreover, we introduce the notion of Δ-co-annihilators in an EQΔ -algebra …ɛ Δ and conclude that the collection of all Δ-prefilters PF Δ ( ɛ Δ ) in an ℓEQΔ -algebra ɛ Δ constitutes a relative pseudo-complemented lattice. Finally, we introduce and investigate two types of fuzzy co-annihilators Ann R  (μ ) and Ann  (μ , ν ) in ɛ . We come to a conclusion that the set of all fuzzy filters FF ( ɛ ) in a residuated ℓEQ-algebra ɛ forms a relative pseudo-complemented lattice whence → is the Gödel residuated implication in St r  (μ , ν ). Show more

Keywords: EQ-algebra, EQΔ-algebra, (fuzzy) co-annihilator, (fuzzy) prefilter, fuzzy congruence relation

DOI: 10.3233/JIFS-179373

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2113-2124, 2019

Authors: Xiao, Bing | Zhao, Jing | Zhao, Cong | Ma, Junliang

Article Type: Research Article

Abstract: Video retrieval technology has drawn considerable attention over the years. Compared with the underlying information such as color, edge, etc., the text in the video contains rich semantic information and can well summarize the video information. Many scholars have proposed methods based on SVM to detect video text. For most of these methods, feature dimension is too large, and the time complexity and detection effect remain to be improved. In this paper, a new method of SVM video text detection based on color, edge and HOG features is proposed. And for the problem of single frame detection, the detection effect …is improved based on the detection of three adjacent frames. In this paper, video text detection is implemented through steps such as sample selection, feature extraction, model training, and text detection. Finally, many experiments are performed to compare the proposed method with other literatures. The results show that the proposed single-frame and three-frame detection algorithm has a high recall rate and accuracy, which reduces the false detection rate and improves the effectiveness of video text detection. Show more

Keywords: Video retrieval, text detection, support vector machine, feature extraction, classifier

DOI: 10.3233/JIFS-181325

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2125-2136, 2019

Authors: Mahapatra, Rupkumar | Samanta, Sovan | Pal, Madhumangal | Xin, Qin

Article Type: Research Article

Abstract: Prediction of links/ connections in social networks is useful for increasing business in the area of telecom and social media. All types of social networking organization are trying to increase their nodes, i.e. the number of members. So the calculation of link prediction is the most important task because this calculation will help how to increase the number of user on a social network. A new technique of link prediction, namely RSM index, is introduced in this paper. Few essential properties have been established. Also, a comparative study with the existing methods is depicted with suitable tables and graphs.

Keywords: Social Network, link prediction, fuzzy networks, RSM index

DOI: 10.3233/JIFS-181452

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2137-2151, 2019

Authors: Noor, Fozia | Akram, Muhammad Usman | Shah, Asadullah | Khan, Shoab Ahmad

Article Type: Research Article

Abstract: Different aspects of social networks have increasingly been under investigation from last decade. The social network studies range in various viewpoints from the structural and node measures to the information diffusion processes. Key node identification has been one of the limelight topics of social network analysis (SNA) specifically in a discipline like politics, criminology, marketing etc. This research uses multiple networks constructed from the different social site and real-life relationships to cover the multi-dimensional aspects of human relations. In the multi-relationship system, the different dimensions may differ in terms of relevance and weight. One of the most intriguing aspects of …key node identification in the multi-dimensional system can be the consideration of dimension relevance. This research covers the methodology to optimize the weights of dimensions using a number of centrality measures from each network layer covering multiple different objectives of interest. The study formulates the novel weighted feature set pertaining to layer relevance calculated based on layers relative importance through particle swarm optimization technique. The framework applies ensemble-based approach on the weighted feature set along with node characteristics to predict key nodes in a network. The results are validated against ground truth data and accuracy achieved is promising. Show more

Keywords: Multi-layer social networks, dimensional relevance, key player identification, majority voting based ensemble, particle swarm optimization

DOI: 10.3233/JIFS-181517

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2153-2167, 2019

Authors: Chandio, Asad Ali | Laghari, J.A. | Khokhar, Suhail | Almani, Suhail Ahmed

Article Type: Research Article

Abstract:  Accurate and fast islanding detection of distributed generation is extremely important for its effective operation in distribution systems. For this purpose, several islanding detection methods have been suggested. Among them, hybrid islanding detection techniques are preferred due to their minimum effects on the power system. However, hybrid islanding detection techniques also suffer from two main limitations. They still degrade the power quality and also take comparatively large time to detect the islanding phenomenon. Thus, fast detection and power quality degradation issues are still not solved by hybrid islanding detection techniques. To address this issue, this paper suggests a new islanding …detection technique based on rate of change of reactive power (ROCORP) and radial basis function neural network (RBFNN). The proposed technique uses ROCORP as the RBFNN input. The appropriate database of several islanding and non-islanding events is generated by performing the offline simulations on 26 Bus Malaysian distribution system for training the RBFNN. The simulation results shows that it can detects islanding and non-islanding events very fast without degrading the power quality of the system and is independent of threshold limitations. Show more

Keywords: Islanding detection, Distributed generation, Mini-hydro, ROCORP, RBFNN

DOI: 10.3233/JIFS-181849

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2169-2179, 2019