Journal of Intelligent & Fuzzy Systems - Volume 30, issue 1

Authors: Xu, Yuanping

Article Type: Research Article

Abstract: This paper starts with discussing the problem of evaluating the mechanical product design quality with dual hesitant fuzzy information in context of decision making solutions based on multiple attributes. And then, based on the induced Choquet ordered averaging (I-COA) operator, this paper further present the induced dual hesitant fuzzy Hamacher correlated averaging (I-DHFHCA) operator. Furthermore, this research devised an application model that tries to provide treatments of current difficulties of the multiple attribute decision making under dual hesitant fuzzy environment. At last, a practical example for evaluating the mechanical production design quality is illustrated to show the proposed idea and …prove its usability and performance. Show more

Keywords: Multiple attribute decision making, dual hesitant fuzzy values, induced dual hesitant fuzzy Hamacher correlated averaging (I-DHFHCA) operator, mechanical product design quality

DOI: 10.3233/IFS-141426

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 1, pp. 1-6, 2016

Authors: Soleimani Nasab, Ali | Borumand Saeid, Arsham

Article Type: Research Article

Abstract: In this paper, the radical of an implicative filter in Hilbert algebras is studied and some theorems are given on its properties and we show that radical form a closure operator. Also, the radical of the set of all regular elements is characterized. Finally, the notion of semi maximal filter is introduced as a closed set of that closure operator and studied it in detail.

Keywords: (semisimple,local), Hilbert algebra (with supremum), radical of an implicative filter, semi maximal filter

DOI: 10.3233/IFS-151706

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 1, pp. 7-15, 2016

Authors: Feng, Lizhou | Wang, Youwei | Zuo, Wanli

Article Type: Research Article

Abstract: In order to improve the classification speed without sacrificing the email classification accuracy seriously, a novel online spam classification method is proposed. Firstly, the conceptions of term frequency based interest sets are introduced, and emails are classified by combining term frequency based interest sets and Naïve Bayes classifier. Secondly, based on the active learning theory, a novel boundary density based email classification certainty evaluating method is proposed to select and recommend emails to users for labeling by combining the user interests. Finally, the emails which are labeled and classified with the greatest possibilities are used for retraining based on the …incremental learning theory. In the experiments, Support Vector Machine (SVM), Naïve Bayesian (NB) and K-Nearest Neighbors (KNN) classifiers are used on two corpuses: Trec2007 and Enron-spam. Comparing with six typical active learning based incremental learning methods, the proposed method greatly reduces the consuming time of email classification while guaranteeing the accuracy. Moreover, the proposed method brings very small sample labeling burden to the users, proving its high value on online application. Show more

Keywords: A mail classification, term frequency based interest sets, Support Vector Machine, Naïve Bayesian, K-NearestNeighbors, active learning, incremental learning

DOI: 10.3233/IFS-151707

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 1, pp. 17-27, 2016

Authors: Javed, Saba | Ishaque, Kashif | Ali, Zeeshan | Saleem, Yasir

Article Type: Research Article

Abstract: This paper proposes a simplified yet effective control scheme to design a fuzzy logic controller (FLC) for the ship tanker. The proposed method exploits the feature of signed distance method for reducing the conventional two-input FLC (CFLC) into a piecewise linear single input FLC (PWL-FLC). It has been shown that the proposed FLC has a similar structure to the CFLC, exhibiting analogous control performance. However, the main features of the proposed method are the absence of fuzzification, rule inference and defuzzification processes that are essential for CFLC implementation. The proposed PWL-FLC could be easily programmed into a low cost microcontroller …using just a look-up table. To authenticate its effectiveness, the control algorithm has been implemented using the marine system simulator in Matlab/Simulink® platform. The result signifies that both the PWL-FLC and CFLC results in identical functioning performance; however, the former requires least possible tuning effort and its execution time is in the orders of three magnitudes less than its conventional counterpart. Show more

Keywords: Fuzzy logic controller, piecewise linear, signed distance method, improved fuzzy logic control, ship tanker

DOI: 10.3233/IFS-151708

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 1, pp. 29-41, 2016

Authors: Sedehzadeh, Samaneh | Tavakkoli-Moghaddam, Reza | Baboli, Armand | Mohammadi, Mehrdad

Article Type: Research Article

Abstract: A tree hub location problem (THLP) is a recently introduced extension of the classical hub location problem with an incomplete graph. The aim of this problem is to design a network more economic and practical. This paper presents a new multi-objective model to design a multi-modal tree hub location network under uncertainty. For this purpose, a fuzzy approach is applied to cope with the inherent uncertainty of input data in the THLP. One important issue, which is recently introduced in transportation network, is the amount of fuel consumption effected on economic and environmental problems, In this model, the amount of …fuel consumption used in a transportation sector are accounted and the effect of road and vehicle types on consumed fuel in the THLP are studied. This model allows having different transportation modes between hubs and a set of capacity levels for each potential hub so that only one of them can be chosen. The objectives of this model include the minimization of energy consumption and the minimization of transportation costs and fixed costs of locating hubs and hub links. To solve the model, a multi-objective imperialist competitive algorithm (MOICA) is proposed to obtain the Pareto-optimal solutions of the problem. Furthermore, the performance of this algorithm is compared with non-dominated sorting genetic algorithm (NSGA-II). Show more

Keywords: Multi-modal tree hub location problem, energy consumption, fuzzy approach, meta-heuristics

DOI: 10.3233/IFS-151709

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 1, pp. 43-60, 2016

Authors: Azar, Adel | Zarei Mahmoudabadi, Mohammad | Emrouznejad, Ali

Article Type: Research Article

Abstract: The main advantage of Data Envelopment Analysis (DEA) is that it does not require any priori weights for inputs and outputs and allows individual DMUs to evaluate their efficiencies with the input and output weights that are only most favorable weights for calculating their efficiency. It can be argued that if DMUs are experiencing similar circumstances, then the pricing of inputs and outputs should apply uniformly across all DMUs. That is using of different weights for DMUs makes their efficiencies unable to be compared and not possible to rank them on the same basis. This is a significant drawback of …DEA; however literature observed many solutions including the use of common set of weights (CSW). Besides, the conventional DEA methods require accurate measurement of both the inputs and outputs; however, crisp input and output data may not relevant be available in real world applications. This paper develops a new model for the calculation of CSW in fuzzy environments using fuzzy DEA. Further, a numerical example is used to show the validity and efficacy of the proposed model and to compare the results with previous models available in the literature. Show more

Keywords: Data Envelopment Analysis, common set of weights, fuzzy DEA

DOI: 10.3233/IFS-151710

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 1, pp. 61-69, 2016

Authors: Zhou, Jian | Yang, Fan | Wang, Ke

Article Type: Research Article

Abstract: In practice, some special LR fuzzy numbers, like the triangular fuzzy number, the Gaussian fuzzy number and the Cauchy fuzzy number, are widely used in many areas to deal with various vague information. With regard to these special LR fuzzy numbers, called regular LR fuzzy numbers in this paper, an operational law is proposed for fuzzy arithmetic, providing a novel approach to analytically and exactly calculating the inverse credibility distribution of some specific arithmetical operations based on the credibility measure. As an application of the operational law, an equivalent form of the expected value operator as well as a theorem …for computing the expected value of strictly monotone functions is suggested. Finally, we utilize the operational law to construct a solution framework of fuzzy programming with parameters of regular LR fuzzy numbers, and such type of fuzzy programming problems can be handled by the operational law as the classic deterministic programming without any particular solving techniques. Show more

Keywords: LR fuzzy number, regular LR fuzzy number, fuzzy arithmetic, operational law, expected value, fuzzy programming

DOI: 10.3233/IFS-151712

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 1, pp. 71-87, 2016

Authors: Khazaei, Atefeh | Ghasemzadeh, Mohammad | Derhami, Vali

Article Type: Research Article

Abstract: In this paper we introduce an objective method for CVSS score calculation. CVSS is a well known and mostly used method for giving priority to software vulnerabilities. Currently it is being calculated by some slightly subjective methods which require enough skill and knowledge. This research shows how we can benefit from natural language description of vulnerabilities for CVSS calculation. The data that were used for implementation and evaluation of the proposed models consists of the available CVE vulnerability descriptions and their corresponding CVSS scores from the OSVDB database. First, feature vectors were extracted using text mining tools and techniques, and …then the SVM and Random-Forest algorithms as well as fuzzy systems were examined to predict the concerned CVSS scores. In spite of the fact that SVM and Random-Forest are mostly used and trusted methods in prediction, results of this research bear a witness that using fuzzy systems can give comparable and even better results. In addition, implementation of the fuzzy based system is much easier and faster. Although so far, there have been so little efforts in using the information embedded in textual materials regarding vulnerabilities, this research shows that it will be valuable to utilize them in systems security establishment. Show more

Keywords: Description of software vulnerability, Common Vulnerability Scoring System (CVSS), Support Vector Machine (SVM), Random-Forest, fuzzy systems

DOI: 10.3233/IFS-151733

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 1, pp. 89-96, 2016

Authors: Khan, Asghar | Jun, Young Bae | Ali Shah, Syed Inayat | Khan, Raees

Article Type: Research Article

Abstract: Molodtsov in 1999, introduced the concept of a soft set as a new mathematical tool which can be seen as a new approach to deal with uncertainty and vagueness in information systems. Using the notion of soft-union sets in ordered semigroup, we characterize ordered semigroups in terms of union-soft (uni-soft) quasi-ideals. We characterize left, right simple and completely regular ordered semigroups in terms of uni-soft quasi-ideals. We define semiprime uni-soft quasi-ideal of ordered semigroups and characterize completely regular ordered semigroup in terms of semiprime uni-soft quasi-ideals. We also study the decomposition of left and right simple ordered semigroups having special …property, by means of uni-soft quasi-ideals. Show more

Keywords: Ordered semigroups, left/right regular and completely regular ordered semigroup, quasi-ideal, uni-soft quasi-ideal, semiprime uni-soft quasi-ideal

DOI: 10.3233/IFS-151734

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 1, pp. 97-107, 2016

Authors: Beg, Ismat | Rashid, Tabasam

Article Type: Research Article

Abstract: In this paper, the concept of a hesitant 2-tuple linguistic information model is introduced. It provides a linguistic and computational basis to manage the situations in which experts assess an alternative in linguistic term while feeling some hesitation to present its possible linguistic translations. A distance measure is defined between any two hesitant 2-tuple linguistic information. Then technique for order preference by similarity to ideal solution is formulated to solve the group decision making problem based on hesitant 2-tuple linguistic information by experts. An example is given to illustrate the practicality and feasibility of our proposed method.

Keywords: Multiple attributes group decision making, hesitant fuzzy sets, 2-tuple information

DOI: 10.3233/IFS-151737

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 1, pp. 109-116, 2016