Journal of Intelligent & Fuzzy Systems - Volume 35, issue 5

Authors: Korkmaz, Esra | Ertürk, Rıza

Article Type: Research Article

Abstract: Texture spaces were introduced by L.M. Brown as a means of representing fuzzy sets in a point-based setting. The concept of ditopological texture space was defined on a texture as a generalization of topological, bitopological and fuzzy topological spaces. This paper provides an introduction to the concept of diframe. In particular, we describe the morphisms of the category of diframes and establish a connection between texture spaces and frame theory.

Keywords: Diframe, frame, coframe, colocale, conuclei

DOI: 10.3233/JIFS-18180

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5529-5539, 2018

Authors: Jin, Liying | Zhi, Xiaobin | Zhao, Shengdun

Article Type: Research Article

Abstract: In view of intelligent Minkowski metric Weighted K-means (iMWK) sensitive to feature weighting, a novel clustering technique called intelligent Minkowski metric feature weights subspace clustering algorithms through hybrid dissimilarity measure (iMWK-HD) is presented. First, a new optimization objective function is constructed by incorporating the Minkowski distance and Cosine dissimilarity in the subspace. Based on this objective function, the corresponding update rules for clustering are then derived, followed by the development of the novel iMWK-HD algorithm. The properties of this algorithm are investigated and the performance is evaluated experimentally using synthetic and UCI datasets. The experimental studies demonstrate that the accuracy …of the proposed iMWK-HD algorithm outperforms three existing clustering algorithms, i.e., iK-means, iWK-means and iMWK-means. In addition, the proposed algorithms are immune to irrelevant features in cluster subspace. Show more

Keywords: Minkowski metric, subspace clustering, feature weighting, hybrid dissimilarity measure

DOI: 10.3233/JIFS-18563

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5541-5556, 2018

Authors: Cao, Xizheng | Zhan, Wen

Article Type: Research Article

Abstract: It is easy to apply artificial intelligence methods and address scientific problems with concrete rules. However, it is often challenging to apply these methods to art creation problems of weak regularity. To automatically generate musical melodies in the prairie songs of northern China, this paper proposes a formal method for melody creation based on theme development and fuzzy inference. First, we analyze the features of mode and scale in the prairie songs and construct an algorithm to generate a theme phrase according to the inner fuzzy relations among the prairie-song phrases to obtain seed materials. Then, concerning the fuzzy relations …between two phrases in the prairie songs, this paper adopts fuzzy inference to manage the progression of the phrase relations and generates developmental phrases. Finally, many complete melodies of the prairie songs are generated. Compared with existing rule-based approaches, the proposed method can improve the global structure of music and can make the output compositions more musical and interesting. Show more

Keywords: Intelligent composition, prairie-song melody, rule, theme development, fuzzy inference

DOI: 10.3233/JIFS-18920

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5557-5571, 2018

Authors: Liang, Jie | Xin, Xiao Long | Wang, Jun Tao

Article Type: Research Article

Abstract: The main goal of this paper is to introduce the notions of derivations on EQ -algebras and obtain several special types of them. In this paper, we discuss some properties of useful derivations and give some characterisations of them. Then, we also show that the fixed point set of useful derivations is a good EQ -algebra. Moreover, we study simple ⊙-derivations and their adjoint derivations and prove that the fixed point set of simple ⊙-derivations and that of their adjoint derivations are order isomorphism. Furthermore, the quotient algebras induced by d -filter are studied.

Keywords: EQ-algebra, derivation, fixed point set, simple

DOI: 10.3233/JIFS-18958

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5573-5583, 2018

Authors: Khan, Munna | Jahan, Mosarrat

Article Type: Research Article

Abstract: Sub-vocal speech (SVS) recognition is highly desirable for silent communications among defence personnel and underwater operations. The SVS of Hindi phoneme has a great role to transform the sub-auditory signals into textual information for deaf Indians. Electromyography (EMG) has been applied to record signals of Hindi phoneme. EMG signals are picked up by placing electrodes over the neck areas below the chin of the subject. The SVS of Hindi phoneme recorded for four Hindi alphabets क (Ka), ख (Kha), ग (Ga) and घ (Gha) for 10 healthy Indian subjects. Two types of features; Wavelet based features and Auto Regressive (AR) …coefficient features were extracted for these phonemes. Analysis has been made using three classifiers namely linear classifier, quadratic classifier and Support Vector Machine (SVM). Performances of all three classifiers are also evaluated in terms of accuracies. The classification accuracies averaged on 10 subjects with SVM classifier are found to be 75.00%, 78.05%, 80.50% and 81.30 % corresponding to phoneme क, ख, ग and घ respectively. Results also indicated that the wavelet based features with SVM classifier are best suited among three classifiers for accuracy of SVS Hindi phonemes discrimination. Myoelectric signals proved to have an important role for classification of sub-vocal Hindi phonemes in speech pattern recognition. Show more

Keywords: Hindi phoneme, sub-vocal speech, wavelet transform, electromyography, Autoregressive

DOI: 10.3233/JIFS-161067

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5585-5592, 2018

Authors: Hosseini, Hossein | Bathaee, Seyed Mohammad Taghi

Article Type: Research Article

Abstract: States data are among the most vital transferred data in power systems. Therefore, if the attacks to these states is not recognized, the system performance will get noisy and in the worst case, it will lead to widespread power outages. In this paper, three indicators will be presented to detect false data injection attack (FDI). These indicators use three factors to detect the attacks. The first indicator has been designed based on the performance of traditional power systems. The second indicator, in addition to the first factor, uses a relationship between angle and voltage changes in each bus to detect …the attacks. The third one has been designed for detecting the attacks based on the neighbor buses performance. In this paper, FDI attacks have been classified into two categories: Manipulating attack, and PMU attack, in order to investigate the indicators performance. Using two standards of IEEE 14bus and New England 39bus, the indicators performance was analyzed. Our results show that all the three indicators have unique properties and all are successful in detecting attacks on smart grids. Show more

Keywords: Dynamic state estimation, phasor measurement units, false data injection attacks, cyber security.

DOI: 10.3233/JIFS-161594

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5593-5604, 2018

Authors: Vahdatzad, Mohammad Ali | Zare, Hassan Khademi

Article Type: Research Article

Abstract: Decision making on allocation of limited financial resources and determining the service quality level and facilities to the customers is an important issue for banking industries and financial enterprises. In this research by using neural networks, customer’s credibly behavior is modeled and clustered in order to optimize the allocation of financial resources and enhance the quality of banking services. By using Analytic Hierarchy Process (AHP), weighting coefficients of each input variable is determined and then these coefficients are used as primarily weights in fuzzy neural networks (FNN). This approach has increased training speed and accuracy of FNN considerably. Also the …customers credibly behavior is predicted by using neural networks clustering models. The fuzzy neural networks model with the same data is also carried out without using AHP weights. The comparison of both approaches show the fuzzy neural networks clustering models with AHP weightings is more accurate with higher prediction speed. The model is implemented for a real application of Iranian National Bank. The case study shows 98% increase in prediction speed and 12% increase in accuracy. Show more

Keywords: Banking industry, customer credibly, fuzzy neural networks, AHP

DOI: 10.3233/JIFS-16323

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5605-5617, 2018

Authors: Bayat, Peyman | Afrakhte, Hossein | Bayat, Pezhman

Article Type: Research Article

Abstract: To reduce fossil fuel consumption, carbon dioxide emissions, and greenhouse gas emissions, countries all over the world have been gradually directing their attention toward the development and application of microgrids (MGs) that run on renewable energy sources. The MG concept has been gaining increased interest, particularly with respect to distribution systems. On the other hand MGs are equipped with new technologies such as plug-in electric vehicles (PEVs) and plug-in hybrid electric vehicles, which have become viable alternatives to traditional combustion-engine cars. In this paper the novel optimization method for efficiency maximization in smart MGs in the presence of demand response, …was proposed. This method combines a hybrid shuffled frog leaping algorithm (SFLA) and intelligent water drop optimization. In this situation, the EV energy storage system (ESS) state of health (SOH) model was considered to adjust the ESS temperature set point. SFLA is a new member of intelligent algorithms and a new member in the family of memetic algorithms. For this purpose, simulation results were made in MATLAB software environment to demonstrate the effectiveness of the proposed methodology. In order to verify proposed algorithm, simulations were made along with some conventional optimization methods. The results show that the proposed optimization method, can effectively improve the performance of MG power flow, when it is compared with other methods. Show more

Keywords: Shuffled frog leaping algorithm (SFLA), intelligent water drops (IWD) optimization, energy storage system (ESS), plug-in electric vehicles (PEVs), microgrids (MGs), renewable energy, state of health (SOH)

DOI: 10.3233/JIFS-171023

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5619-5634, 2018

Authors: Khosravi Shoar, S. | Borzooei, R.A. | Moradian, R.

Article Type: Research Article

Abstract: In this paper, we introduce the concepts of fuzzy congruence relation and fuzzy coset relation on vector spaces and find some their properties. We define some operations on fuzzy coset relations and show that the set of all fuzzy coset relations on a vector space is a vector space, too. We study the union of two fuzzy congruence relations and investigate some its properties. Finally, by using the concepts of a generated subspace of a set and a congruence relation on a vector space, we introduce the notion of a fuzzy congruence relation generated by a fuzzy relation in …a vector space. Show more

Keywords: Fuzzy congruence relation, fuzzy coset relations, fuzzy relation, vector spaces

DOI: 10.3233/JIFS-17088

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5635-5645, 2018

Authors: Shoar, S. Khosravi

Article Type: Research Article

Abstract: It is clear to characterize logic algebras, ideals and filters play important role, therefore in this research, we survey the structure of various ideals and find some types of ideals such as positive implicative ideals, strong ideals and MV-ideals in residuated lattices. We also introduce the concept of quasi ideals and show that any ideal is a quasi ideal, but the converse does not hold in general. We clarify the relations between these ideals in residuated lattices, strong residuated lattices and BL-algebras. For instance, we prove that in strong residuated lattices the concept of quasi ideals and ideals are the …same and in BL-algebras the concepts of quasi ideals, ideals, strong ideals and MV-ideals coincide, whereas they are different in residuated lattices and MTL-algebras. We detect the relation between these ideals with MV-algebras, strong algebras and Boolean algebras. Show more

Keywords: Residuated lattice, ideal, quasi ideal, positive implicative ideal, strong ideal, MV-ideal

DOI: 10.3233/JIFS-171197

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5647-5655, 2018