Journal of Intelligent & Fuzzy Systems - Volume 28, issue 3

Authors: Ye, Jun

Article Type: Research Article

Abstract: The paper proposes the possibility degree ranking method for interval neutrosophic numbers (INNs) from the probability viewpoint since the ranking of INNs is very important for the interval neutrosophic decision-making problems. Then, we develop an interval neutrosophic number ordered weighted averaging (INNOWA) operator and an interval neutrosophic number ordered weighted geometric (INNOWG) operator and investigate their properties, and then establish a decision-making method based on the possibility degree ranking method and the INNOWA and INNOWG operators to handle multiple attribute decision-making problems with interval neutrosophic information. Finally, an illustrative example of investment alternatives is given to demonstrate the application and …effectiveness of the developed approach. Show more

Keywords: Interval neutrosophic set, interval neutrosophic number, possibility degree, interval neutrosophic number ordered weighted averaging (INNOWA) operator, interval neutrosophic number ordered weighted geometric (INNOWG) operator, decision making

DOI: 10.3233/IFS-141416

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1307-1317, 2015

Authors: Outahajala, Mohamed | Benajiba, Yassine | Rosso, Paolo | Zenkouar, Lahbib

Article Type: Research Article

Abstract: Amazigh is used by tens of millions of people mainly for oral communication. However, and like all the newly investigated languages in natural language processing, it is resource-scarce. The main aim of this paper is to present our POS taggers results based on two state of the art sequence labeling techniques, namely Conditional Random Fields and Support Vector Machines, by making use of a small manually annotated corpus of only 20k tokens. Since creating labeled data is very time-consuming task while obtaining unlabeled data is less so, we have decided to gather a set of unlabeled data of Amazigh language …that we have preprocessed and tokenized. The paper is also meant to address using semi-supervised techniques to improve POS tagging accuracy. An adapted self training algorithm, combining confidence measure with a function of Out Of Vocabulary words to select data for self training, has been used. Using this language independent method, we have managed to obtain encouraging results. Show more

Keywords: POS-tagging, amazigh, conditional random fields, support vector machines, out of vocabulary, self training

DOI: 10.3233/IFS-141417

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1319-1330, 2015

Authors: Gegov, Alexander | Arabikhan, Farzad | Sanders, David

Article Type: Research Article

Abstract: This paper proposes a rule base simplification method for fuzzy systems. The method is based on aggregation of rules with different linguistic values of the output for identical permutations of linguistic values of the inputs which are known as inconsistent rules. The simplification removes the redundancy in the fuzzy rule base by replacing each group of inconsistent rules with a single equivalent rule. The simulation results from a transportation demand management case study show that the aggregated fuzzy system with the consistent rule base approximates better the given data than the original fuzzy system with the inconsistent rule base. The …main advantage of the proposed method over other methods is that it does not require any refinement of the rule base using additional data sets or expert knowledge. In this context, the method is quite suitable for applications where rule base refinement is unacceptable due to time constraints or impossible due to lack of additional data or knowledge. Show more

Keywords: Fuzzy systems, complexity theory, data simplification, transportation demand management, control systems

DOI: 10.3233/IFS-141418

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1331-1343, 2015

Authors: Shamshirband, Shahaboddin | Daghighi, Babak | Anuar, Nor Badrul | Kiah, Miss Laiha Mat | Patel, Ahmed | Abraham, Ajith

Article Type: Research Article

Abstract: Wireless networks are increasingly overwhelmed by Distributed Denial of Service (DDoS) attacks by generating flooding packets that exhaust critical computing and communication resources of a victim's mobile device within a very short period of time. This must be protected. Effective detection of DDoS attacks requires an adaptive learning classifier, with less computational complexity, and an accurate decision making to stunt such attacks. We propose a distributed intrusion detection system called Cooperative IDS to protect wireless nodes within the network and target nodes from DDoS attacks by using a Cooperative Fuzzy Q-learning (Co-FQL) optimization algorithmic technique to identify the attack patterns …and take appropriate countermeasures. The Co-FQL algorithm was trained and tested to establish its performance by generating attacks from the NSL-KDD and “CAIDA DDoS Attack 2007” datasets during the simulation experiments. Experimental results show that the proposed Co-FQL IDS has a 90.58% higher accuracy of detection rate than Fuzzy Logic Controller or Q-learning algorithm or Fuzzy Q-learning alone. Show more

Keywords: Intrusion detection, fuzzy system, reinforcement learning, multi agent system, cooperative IDS

DOI: 10.3233/IFS-141419

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1345-1357, 2015

Authors: Li, Nan | Yang, Yupu

Article Type: Research Article

Abstract: As an effective feature extraction and dimension reduction method, nonnegative matrix factorization (NMF) can yield sparse, spatially localized, part-based subspace representations by finding a low-rank matrix approximation from the original data. However, one drawback it has to suffer is its failure to retain the statistical properties of data. In this paper, NMF is modified to take the variations of data into account. This modified NMF (MNMF) is aimed at not only extracting the latent signals which are added together to produce the observed signals, but also capturing the main variations of data. Then MNMF can be used to extract the …latent variables in a process and combine them with process monitoring techniques for fault detection. The proposed method was applied to the Tennessee Eastman Process (TEP) to evaluate its monitoring performance, and the experiment results demonstrated its feasibility and availability for process monitoring. Show more

Keywords: Modified nonnegative matrix factorization, process monitoring, fault detection, fault diagnosis, Tennessee Eastman Process

DOI: 10.3233/IFS-141420

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1359-1370, 2015

Authors: Bagheri, Azam | Mardaneh, Mohammad

Article Type: Research Article

Abstract: In grid connected applications power electronic converters need to be synchronized correctly with the power system. Quick and precise positive/negative sequence extraction of the grid voltage is the major challenge in synchronization. Phase-locked loop (PLL) is well known method for phase angle and frequency detection. Up to now numerous PLL based techniques are proposed to perform this task. This paper deals with the proposing a modified Kalman-filter based PLL (KF-PLL). The performance of this PLL depends on how to properly tune the frequency identifier system. Therefore to enhance the performance of this PLL a fuzzy based technique is proposed which …effectively makes the Kalman-based PLL better. The designed fuzzy system adjusts ku parameter which is responsible for speed of the convergence of real time frequency identifier block of the KF-PLL system. The proposed detection system is simple, and precisely finds the fundamental component of grid voltage within one cycle, that is fast enough for almost all synchronization application. Meanwhile, the method guaranties the zero steady state error in complicated harmonic scenarios, including all typical single phase and three phase harmonics. The simulation results depict the influence of fuzzy logic technique on KF-PLL improvement. Show more

Keywords: Kalman filter based PLL, fuzzy logic, flicker, harmonic detection, single–phase, three–phase, synchronization

DOI: 10.3233/IFS-141421

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1371-1383, 2015

Authors: Musavi, Saeed | Pokorny, Kian L. | Poorolajal, Jalal | Mahjub, Hossein

Article Type: Research Article

Abstract: A common and critical issue in survival data analysis is the way in which censored data are handled. The Kaplan-Meier (KM) estimator is a frequently used statistical method in survival analysis that works well with censored data. In small sample sizes with heavy censoring the estimates of KM are not reliable, because the assumptions of KM estimator are violated. In this study, fuzzy logic is used to obtain more reliable estimates when standard statistical methods cannot be used. Data analyzed in this study were the survival times of six AIDS patients under ten years old. One of the patients died …after 197 days and the others were censored, giving a censor rate of 83%. The fuzzy-product-limit estimator (FPLE) and a modified FPLE were used to analyze the data. Mean survival time was calculated and associated confidence interval was calculated along with a measure of the amount of “fuzzy information” used to obtain the estimates. In addition, one to ten year survival rates estimated by the KM, FPLE and proposed methods are presented. The result of the simulations showed that the fuzzy methods with few and highly censored data provide more reasonable results than the standard statistical method. Show more

Keywords: Survival analysis, fuzzy logic, computational methods, AIDS, censoring

DOI: 10.3233/IFS-141422

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1385-1392, 2015

Authors: Farhadinia, B.

Article Type: Research Article

Abstract: Hesitant fuzzy sets (HFSs), interval-valued hesitant fuzzy sets (IVHFSs) and typical dual hesitant fuzzy sets (T-DHFSs) are new extensions of classical fuzzy sets (FSs) that have attracted more and more scholars attention nowadays. Although several contributions exist regarding basic operations on HFSs, IVHFSs and T-DHFSs, most of them are focused on the multiplication and the addition operations and do not refer extensively to the division and the subtraction operations. Thus, the main purpose of the present paper is to develop division and subtraction formulas for HFSs, IVHFSs and T-DHFSs, which provides more choices for the decision makers.

Keywords: Hesitant fuzzy set, interval-valued hesitant fuzzy set, typical dual hesitant fuzzy set, division, subtraction

DOI: 10.3233/IFS-141423

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1393-1402, 2015

Authors: Önder, Zerrin | Sezer, Sefa Anıl | Çanak, İbrahim

Article Type: Research Article

Abstract: In this paper, a Tauberian theorem of slowly decreasing type is proved for the weighted mean method of summability of sequences of fuzzy numbers.

Keywords: Sequences of fuzzy numbers, Tauberian theorems, weighted means, slowly decreasing sequence

DOI: 10.3233/IFS-141424

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1403-1409, 2015

Authors: Duzce, Serkan Ali

Article Type: Research Article

Abstract: In this study, a new method for ranking trapezial fuzzy numbers, generalized trapezoidal fuzzy numbers with different left and right heights, is presented. It considers triangles of a trapezium, a quadrilateral with no parallel sides, and uses the centers' of the nine-point circles and the areas of these triangles' to calculate the ranking score of the trapezial fuzzy number. The score of the trapezial fuzzy number is also expressed in terms of vertices of the trapezium. The method is simple and efficient, making the application of this method to real life problems more effective. The advantages of the proposed method …are given with examples. Certain applications of the proposed ranking method to the fuzzy risk analysis problem, based on trapezial fuzzy numbers, are also presented. The proposed method ranks not only standardized, but also arbitrary trapezial fuzzy numbers. As a result, it is unnecessary to normalize to fuzzy numbers to apply the fuzzy risk algorithm. Show more

Keywords: Trapezial fuzzy numbers, ranking fuzzy numbers, fuzzy risk analysis, left height, right height

DOI: 10.3233/IFS-141425

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 3, pp. 1411-1419, 2015