Journal of Intelligent & Fuzzy Systems - Volume 29, issue 5

Authors: Georgiou, DN | Karakasidis, TE | Megaritis, AC | Nieto, Juan J. | Torres, A

Article Type: Research Article

Abstract: Bioinformatics is a relatively new discipline where Mathematics are applied in the analysis of genetic sequences. The analysis of the genetic material of living organisms which consist of nucleic acids DNA and RNA is of great importance for diagnosis and taxonomy reasons. In the present paper we propose a new methodology for the representation of genetic sequences as fuzzy sets in the I 12 space which can significantly improve the results of Sadegh-Zadeh and Torres & Nieto. An important characteristic of our proposed methodology is that the location of Amino acids along the genetic sequences play an important …role thus extending in a significant way the computational efficiency advantage of genetic sequence representation. We present some characteristic examples using the new proposed methodology where we calculate the distance and similarity degree of given polynucleotides. Show more

Keywords: DNA, RNA, polynucleotide, fuzzy sets, multi-fuzzy sets, metric spaces

DOI: 10.3233/IFS-151701

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 2259-2269, 2015

Authors: Liu, Yong Lin | Kim, Hee Sik

Article Type: Research Article

Abstract: Molodtsov introduced the concept of soft set as a new mathematical tool for dealing with uncertainties. Recently, Cagman and Enginoglu [16] provided new definitions and operations on soft set theory. The paper applies new definitions and operations of soft sets to non-commutative residuated lattices. The notion of soft non-commutative residuated lattices is introduced. We give some specific examples to show the existence of soft non-commutative residuated lattices. The union, intersection, ∧-product, ∨-product and difference operations of soft non-commutative residuated lattices are investigated. Finally, we study the homomorphism properties of soft non-commutative residuated lattices. It is pointed out that the soft …non-commutative residuated lattices are so general, all results in this paper also hold in most of soft non-commutative logic algebras and soft logic algebras. Show more

Keywords: Soft set, soft non-commutative residuated lattice, union, intersection, ∧–product, ∨–product

DOI: 10.3233/IFS-151702

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 2271-2278, 2015

Authors: Bahmani-Firouzi, Bahman | Khorshidi, Reza | Jabbari, Masoud | Nafar, Mehdi

Article Type: Research Article

Abstract: This paper presents a fuzzy PI controller as a power system stabilizer. The fuzzy PI controller has been designed in order to prepare an auxiliary signal for the excitation system of the synchronous generator. The proposed controller utilizes a combination of a fuzzy logic controller (FLC) and a PI controller, which are the most recent researches in the problem at hand. In comparison with the conventional fuzzy controllers, the proposed fuzzy PI controller takes advantage of both FLC and conventional PI controller to overcome all kind of disturbances. The damping of oscillations local modes in a power system will substantially …be controlled by employing this controller as a replacement for conventional PSS. Furthermore, the presented paper considers the conventional PSS and compares its performance with respect to three proposed types of fuzzy PI controller. Correspondingly, the effects of the supplementary signals in damping oscillation have been shown. Finally, to scrutinize the effectiveness of the proposed controller in damping oscillations, a three-phase short circuit condition is studied in order to clarify the application of the developed methodology. The achieved outcomes show that the proposed controller for stabilizing power system can provide very good damping characteristic. Show more

Keywords: Fuzzy control, power system stabilization, operating condition

DOI: 10.3233/IFS-151703

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 2279-2286, 2015

Authors: Lei, Xia | Wu, Hongjian | Shi, Yan | Shi, Peng

Article Type: Research Article

Abstract: As a new branch of natural computing, membrane computing (MC) has become a hot topic. Based on the combination of nested structure membrane optimization method, genetic algorithm (GA) and the distributed computing method, an efficient parallel genetic membrane computing (PGMC) is proposed. Some rules are proposed to improve the computational performance of PGMC such as communication and transportation rules between homo-core membranes and hetero-core membranes, elementary membrane crossover and division rules, mutation and dissolving rules. An application of PGMC to distribution network reconfiguration is presented. According to the features of radial distribution network operation, object generation of minimum loop and …equal selection of crossover probability are used to further improve the computational efficiency. Finally, a typical example of 33-nodes net is simulated by comparing PGMC with general GA and genetic membrane computing (GMC). The results demonstrate superiority of PGMC on convergence, stability, global searching ability and so on. Show more

Keywords: Membrane computing, distributed computing method, parallel genetic membrane computing, network reconfiguration, minimum loop

DOI: 10.3233/IFS-151704

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 2287-2298, 2015

Authors: Gu, Guang-Yao | Wei, Fa-Jie | Zhou, Sheng-Han

Article Type: Research Article

Abstract: The aim of this paper is to investigate the hesitant fuzzy linguistic multiple attribute decision making problems based on the hesitant fuzzy linguistic sets and Geometric Bonferroni mean operator. Then, we have proposed two aggregation operators: hesitant fuzzy linguistic geometric Bonferroni mean (HFLGBM) operator and hesitant fuzzy linguistic weighted geometric Bonferroni mean (HFLWGBM) operator. Then, we have utilized HFLWGBM operator to tackle the multiple attribute decision making problems using hesitant fuzzy linguistic information. In the end, a practical example for risk assessment of mass unexpected incident in city is proposed to testify the method in this paper.

Keywords: Multiple attribute decision making, hesitant fuzzy linguistic values, hesitant fuzzy linguistic weighted geometric Bonferroni mean (HFLGWBM) operator, risk assessment, mass unexpected incident

DOI: 10.3233/IFS-151705

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 2299-2304, 2015

Authors: Jiang, Ping | Dou, Quansheng | Hu, Xiaoying

Article Type: Research Article

Abstract: This paper presents a supervised method for blood vessel segmentation in digital retinal images by a combination of learning and classification. For an image, the method defines and computes pixel strength as primary features for conservatively computing vessel and background pixels as preliminary segmentation, from which the main segmentation selects training data to learn a neutral network (NN) classifier on the fly. Each pixel in the training data set is represented by an 8-D vector composed of intensity descriptor and pixel strength features, and the learned classifier for the image is next applied to classify the undetermined pixels. The segmentation …results are further refined by filtering out the outliers. The method was evaluated on the publicly available DRIVE database, and the results showed better or comparable performance when comparing with other existing solutions in literature. The much better sensitivity and robustness of our approach with different image conditions make it potentially suitable for clinical applications such as automated screening for early diabetic retinopathy detection, and auto- and semi-automatic grading of diabetic retinopathy. Show more

Keywords: Vessel segmentation, learning and classification, pixel strength, neural network

DOI: 10.3233/IFS-151812

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 2305-2315, 2015