Journal of Intelligent & Fuzzy Systems - Volume 35, issue 1

Authors: Hernández-Castañeda, Ángel | Calvo, Hiram | Gambino, Omar Juárez

Article Type: Research Article

Abstract: Usually, most works use and combine different methods for generating features in order to improve deception detection; nevertheless, they do not take into account the fact that features may change depending on the nature of text. In this research, a study on the effect of the polarity over the set of features generated for deception detection task was carried out. We implemented a polarity classifier to generate subsets of positive and negative opinions. Next, a semantic and lexical method were used over the subsets to generate features and construct vectors. It was proven that adding polarity information did not positively …impacted on deception detection. However, partitioning datasets improved classification results. To classify subsets, attribute selection was implemented and a Bayesian classifier was fed with the resulting vectors. Research findings show that cues to deception are affected by the opinion polarity. In addition, this approach registered up to 86% f-measure. Show more

Keywords: Deception detection, opinion polarity, dataset partitioning, text classification, sentiment features

DOI: 10.3233/JIFS-169610

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 549-558, 2018

Authors: Dirgantoro, Kevin Putra | Yang, Yeon-Mo

Article Type: Research Article

Abstract: There are two kinds of electronic components—passive and active. One of the most used electrical components is diode, because of its ability to convert AC (alternate current) power supply into DC (direct current) for use in the daily life. A diode can be used as both full-wave and half-wave rectifier. Bridge circuit theory is commonly applied to full-wave rectifiers in soft computing engineering. This feasibility based on circuit simulation study aptly uses bridge circuit theory in a half-wave rectifier by replacing two diodes from a block with two resistors and providing only one positive input. The experimental results verify that …the bridge circuit theory works fairly well with half-wave rectifier, and the output is the same as that of a simple half-wave rectifier circuit. Show more

Keywords: Soft computing, diode, half-wave rectifier, full-wave rectifier, bridge circuit

DOI: 10.3233/JIFS-169611

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 559-564, 2018

Authors: Fengxia, Xu | Xuejie, Zhang | Xiaohui, Song | Shanshan, Wang

Article Type: Research Article

Abstract: In this paper, based on a pole placement PID controller designed, a composite control of RBF and PD is proposed for the tracking control of nonlinear dynamic systems. The proposed scheme combines the stability of PD and the ability of the RBF to approximate any function with any precision, with the control-oriented nature of the U-model to achieve exact tracking of nonlinear plants. The proposed structure has a more general appeal than many other models, such as polynomial NARMAX (Nonlinear Autoregressive Moving Average with Exogenous inputs) model and the Hammerstein model, etc. In addition, the control law is shown to …be more simplistic in nature. The effectiveness of the proposed scheme is demonstrated with the help of simulations for the pole placement PID controller and the controller without the Newton-Raphson algorithm. Show more

Keywords: Nonlinear U model system, RBF neural networks, newton iteration, PD

DOI: 10.3233/JIFS-169612

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 565-575, 2018

Authors: Wu, Xiu-Yun | Pang, Bin | Xiu, Zhen-Yu

Article Type: Research Article

Abstract: In this paper, the relations among (L , M )-fuzzy pseudo-metrics, pointwise pseudo-metric chains and pointwise (L , M )-fuzzy uniformities are investigated. It is shown that an (L , M )-fuzzy pseudo-metric can induce a pointwise (L , M )-fuzzy uniformity, and an (L , M )-fuzzy pseudo-metric and its induced pointwise (L , M )-fuzzy uniformity generate the same (L , M )-fuzzy topology. Also, it is proved that a pointwise pseudo-metric chain can induce a pointwise (L , M )-fuzzy uniformity, and a pointwise pseudo-metric chain and its induced (L , M )-fuzzy pseudo-metric generate the same …pointwise (L , M )-fuzzy uniformity. Moreover, a pointwise pseudo-metric chain and its induced pointwise (L , M )-fuzzy uniformity generate the same (L , M )-fuzzy topology. Show more

Keywords: (L, M)-fuzzy topology, Pointwise (L, M)-fuzzy uniformity, (L, M)-fuzzy pseudo-metric, Pointwise pseudo-metric chain

DOI: 10.3233/JIFS-152492

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 579-588, 2018

Authors: Liang, Yongliang | Lin, Zhuoran | Li, Ke-Jun | Niu, Lin | Zhao, Jianguo | Lee, Wei-Jen

Article Type: Research Article

Abstract: Finding an appropriate way to improve the investment comprehensive benefits for on-line monitoring is a new issue for power industry. In this paper, a priority assessment model for transformer on-line monitoring is proposed. The assessment model consists of device level and system level. The device level is divided into property assessment and operation assessment. The details of various assessment methods were described in the following sections, including device property assessment based on fuzzy analytic hierarchy process (FAHP), operation condition assessment method based on condition assessment technology and system level assessment method based on risk benefits index. An actual grid is …utilized to validate the model and the numerical results illustrate that: the proposed assessment model can provide an appropriate on-line monitoring investment order for transformers. It also verifies that considering multiple aspects related to the target problem could give a more comprehensive assessment result than just considering just one or two of them. This paper provides a feasible solution to achieve more investment benefits for transformer online monitoring, which can provide on-line monitoring investment references for power industry. Show more

Keywords: On-line monitoring, priority assessment, FAHP, device property, operation condition, risk benefit

DOI: 10.3233/JIFS-15492

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 589-599, 2018

Authors: Zhou, Jieyong | Zhang, Zhenyu

Article Type: Research Article

Abstract: Many existing numerical methods of solving fuzzy linear systems are based on solving crisp extended linear systems. This paper is intended to propose a parallel numerical method to solve Drazin inverse solution of large scale fuzzy singular linear systems. Our numerical tests show that the parallel numerical method is useful and superior to the method of computing the extended crisp linear systems.

Keywords: Fuzzy singular linear systems, Krylov subspace, DGMRES, parallel computing, strong fuzzy Drazin solution

DOI: 10.3233/JIFS-15689

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 601-607, 2018

Authors: Wang, Feng | Mao, Junjun

Article Type: Research Article

Abstract: In order to distinguish with effect different intuitionistic fuzzy sets (IFSs), we generalize the asymmetrical relative entropy between IFSs as distance measure for higher discernment. Next, the formula of attribute weights is derived via an optimal model according to TOPSIS from the relative closeness degree constructed by the discerning relative entropy. Then, we propose a similarity formula with strong discernibility and two co-correlation degree formulas from the viewpoint of probability theory and prove their similar traits to the traditional correlation coefficient. To make full use of the three similarity measures presented in this paper, we consider aggregating those similarity measures …and derive the synthetical similarity formula. Finally, the derived formula is used for clustering analysis under intuitionistic fuzzy (IF) information and the effectiveness and superiority are verified through a detailed comparison analysis of clustering results obtained by other clustering algorithms. Show more

Keywords: Intuitionistic fuzzy set, relative entropy, TOPSIS, similarity measure, clustering analysis

DOI: 10.3233/JIFS-161196

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 609-625, 2018

Authors: Wang, Yongbing | Li, Yongming

Article Type: Research Article

Abstract: In this paper, we study the minimization of lattice-valued multiset finite automata with membership values in a distributive lattice. First, we establish the equivalence of (nondeterministic) lattice multiset finite automata (LMA) and deterministic lattice multiset finite automata (DLMA). Furthermore, we present some operations on lattice-valued regular multiset languages, and prove that the family of lattice-valued regular multiset languages is closed under this operations. We also introduce and study the minimal DLMAs and present an effective algorithm to obtain a minimal DLMA for a given LMA. Finally, we give a decomposition of lattice-valued regular multiset language by some simple lattice-valued regular …multiset languages accepted by some special minimal DLMAs. Show more

Keywords: Lattice-valued multiset finite automata, lattice-valued regular multiset languages, deterministic lattice-valued multiset finite automata, minimization, lattice-valued unitary language

DOI: 10.3233/JIFS-161382

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 627-637, 2018

Authors: Zolfaghari, S. | Mousavi, S. Meysam

Article Type: Research Article

Abstract: Project risk management is an essential activity that refers to identify and analyze potential risks to take precautionary responses to mitigate their negative impacts or intensify their positive effects. This study presents a novel approach of failure mode and effect analysis (FMEA) by the aim of prioritizing construction project risks under uncertain conditions of projects. The examined data are defined in the form of a new extension of fuzzy sets, namely hesitant fuzzy sets (HFSs), to involve more possible memberships for evaluation risks’ characteristics. Then, the application of H-VIKOR, VIKOR under hesitant information, and H-Shapley VIKOR is demonstrated to determine …ranking order of construction-project risks. A new version of H-Shapley VIKOR method is presented in this study by defining a new evaluation index for ranking alternatives. Moreover, using different multi-attributes decision-making (MADM) methods may lead to several ranking orders. Rank reversal makes problem in complex decision-making process of the construction projects. To solve this problem, a new extension of De-Novo multi-approaches multi-attributes analysis by a group of experts or decision makers (DMs) is introduced to determine precise final ranking order. The extended method is encompassed the preference of project DMs about using different MADM methods. The application and performance of the proposed new FMEA model-based hesitant fuzzy De-Novo multi-approaches-multiple attributes analysis are evaluated through a real case study of highway project risks. The results indicate the efficiency of the proposed FMEA model. Show more

Keywords: Construction-project risk assessment, hesitant fuzzy sets, H-Shapley VIKOR method, De-Novo multi-approaches multi-attributes analysis, failure mode and effect analysis (FMEA)

DOI: 10.3233/JIFS-162013

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 639-649, 2018

Authors: Yavuz, Enes

Article Type: Research Article

Abstract: In this study we compare Cesàro and Euler weighted mean methods of summability of sequences of fuzzy numbers with Abel and Borel power series methods of summability of sequences of fuzzy numbers. Also, some results dealing with series of fuzzy numbers are obtained.

Keywords: Fuzzy set theory, power series methods, inclusion theorems, 03E72, 40G10, 40D25

DOI: 10.3233/JIFS-162050

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 651-658, 2018