Journal of Intelligent & Fuzzy Systems - Volume 36, issue 6

Authors: Liang, Yajun | Xiao, Mingqing | Tang, Xilang | Ge, Yawei | Wang, Xiaofei

Article Type: Research Article

Abstract: As an efficient way for fault diagnosis, diagnostic policy is to build a test sequence to achieve specified fault diagnosis and accurate failure location with minimal test cost. Traditional diagnostic policy building methods are not suitable for unreliable and imperfect tests due to the uncertainty caused by various outside or inside interference in the real-world systems extensively. Therefore, in this paper, a novel method for diagnostic policy based on Q-learning is proposed to get the optimal policy of long run in the realistic systems. We construct the diagnostic policy model based on the framework of RL. Then the probability of …false alarm or misdetection can be learnt from the environment not partial statistic data through Q-learning algorithm. And the optimal diagnostic policy with imperfect tests is obtained with high efficiency, also considering the test cost and information gain. The proposed method is illustrated by a real-world application. The effectiveness and feasibility of this method are also verified by comparison results. Show more

Keywords: Optimal diagnostic policy, imperfect tests, reinforcement learning, Q-learning

DOI: 10.3233/JIFS-181799

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 6013-6024, 2019

Authors: Gulistan, Muhammad | Yaqoob, Naveed | Nawaz, Shah | Azhar, Muhammad

Article Type: Research Article

Abstract:  In this paper, we introduce the concept of complex fuzzy left and complex fuzzy right hyperideals and discuss some basic properties of LA-hyperrings. We also introduce the concept of (α , β )-complex fuzzy hyperideals and discuss the important features of non-associative LA-hyperrings.

Keywords: LA-hyperrings, fuzzy hyperideals, complex fuzzy hyperideals, (α, β)-complex fuzzy hyperideals

DOI: 10.3233/JIFS-181829

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 6025-6036, 2019

Authors: Samanta, Aniruddha | Basu, Kajla

Article Type: Research Article

Abstract:  Availability optimization is an important engineering optimization problem in the field of redundancy allocation problem (RAP). Several researchers have focussed on availability allocation problem for series-parallel system with repairable components. But in this paper, a multi-objective availability allocation problem in series-parallel system with both repairable and non-repairable components has been considered. The main objectives of this problem are to maximize the availability and minimize the cost of the system. To find the pareto front for this multi-objective non-linear optimization problem, a multi-objective particle swarm optimization (MOPSO) has been developed. Also to select the best solution from the non-dominated solutions of …pareto optimal front, L P norm strategy has been applied. Finally, a comparison procedure is proposed to show the supremacy of the developed MOPSO. Show more

Keywords: Availability allocation, Series-parallel system, Repairable and Non-repairable components, Multi-Objective Particle swarm Optimization (MOPSO)

DOI: 10.3233/JIFS-181846

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 6037-6047, 2019

Authors: Tuberquia-David, Miguel | Hernández, Cesar | Martínez, Fredy

Article Type: Research Article

Abstract: Handoff reduction is considered one of the most exciting challenges in the study of cognitive radio networks. Spectrum handoff occurs between channels when a licensed user needs to access a channel which is currently occupied by an unlicensed user. Once the entry of the authorized user has been detected, the secondary user must move to an idle channel. This process continues until the unlicensed user finishes his transmission. This paper addresses the problem of spectrum mobility in a known radio electric environment, guiding secondary users through routes created with bio-inspired algorithms. The authors formulate a spectrum allocation scheme for multiple …secondary users using two bio-inspired algorithms. The simulation results indicate that the Max feeding optimization algorithm proposed offers robustness and low complexity, which makes it a solution that is more in line with the spectrum allocation problem in cognitive radio networks. Show more

Keywords: Ants, cognitive radio, evolutionary algorithms, spectral handoff

DOI: 10.3233/JIFS-181856

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 6049-6058, 2019

Authors: Rafiq, Muhammad | Ashraf, Shahzaib | Abdullah, Saleem | Mahmood, Tahir | Muhammad, Shakoor

Article Type: Research Article

Abstract:  The novel concept of spherical fuzzy set consists of positive, neutral and negative membership grades which satisfy the conditions that the square sum of its membership grades is less than or equal to 1. In this paper, we investigate the family of novel similarity measures between spherical fuzzy sets based on cosine function by considering the positive, neutral, negative and refusal grades in SFSs. To implement the proposed similarity measures, we provide some numerical applications of decision-making problems. A comparative study of the proposed and existing similarity measures is established. The proposed method is more advance as compare to the …previous all reflexive. Show more

Keywords: Spherical fuzzy sets, similarity measures, decision making problems

DOI: 10.3233/JIFS-181922

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 6059-6073, 2019

Authors: Castillo, Esteban | Cervantes, Ofelia | Vilariño, Darnes

Article Type: Research Article

Abstract: This paper presents an approach to solve authorship verification, a forensic text problem which consists in determining whether or not an unknown document was written by a particular author, from some samples of the author’s writing style. The core of the approach is the use of a graph representation to extract relevant linguistic features based on network analysis techniques. The use of graphs provides rich data structures for representing lexical and syntactic aspects of texts, allowing the reinterpretation of centrality measures to extract linguistic features that do not depend entirely of stylistic elements of text documents. The proposed method is …applied on the English language partitions of the clef PAN 2014 and 2015 author verification datasets, producing competitive results that outperform the state of the art baselines and are near (or surpass in one of the cases) to the best results reported so far, given the same training and test corpora. These experimental results showed that our interpretation of the four centrality measures: closeness, betweenness, degree and eigenvector allow to detect relevant patterns of an author’s writing style. In particular, words with high closeness which are part of some chunk phrases and words with high betweenness that are included in bigrams and trigrams, contribute in a more effective way to verify document authorship. Show more

Keywords: Authorship verification, supervised learning, syntactic flow graph, social network analysis, centrality measures

DOI: 10.3233/JIFS-181934

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 6075-6087, 2019

Authors: Ashraf, Shahzaib | Abdullah, Saleem | Aslam, Muhammad | Qiyas, Muhammad | Kutbi, Marwan A.

Article Type: Research Article

Abstract:  In this paper, we introduce spherical fuzzy sets (SFSs) which is an advanced tool of the fuzzy sets, intuitionistic fuzzy sets and picture fuzzy sets. We investigate the basic properties of SFSs and compare the idea SFSs with picture fuzzy sets. The spaces of spherical membership grades and picture membership grades are examined by graphically. Some useful operation such as spherical fuzzy t’-norms and spherical fuzzy t’-conorms are introduced. Also introduced spherical fuzzy negator and some classifications of spherical fuzzy t’-norms and spherical fuzzy t′ -conorms which are useful for development the aggregation operator to aggregate the spherical fuzzy information. …Finally, a food circulation center evaluation problem is given as a practical application to demonstrate the usage and applicability of the proposed ranking approach. Show more

Keywords: Spherical fuzzy sets, spherical fuzzy t’-norm, spherical fuzzy t’-conorm

DOI: 10.3233/JIFS-181941

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 6089-6102, 2019

Authors: Souza, Gabriel A.F. | Santos, Rodrigo B. | Faria, Lester A.

Article Type: Research Article

Abstract: An analog type-2 fuzzy membership function generator is analyzed, while its low power features are demonstrated. Developed and designed to work as part of an energy-efficient type-2 fuzzy system (i.e. controller, neural network), it operates in current-mode, allowing multiple settings, such as: variable shape, position, slope and size of the Footprint of Uncertainty. All these parameters can be updated/adjusted during actual operation, being suitable for real-time applications, even with online learning. The achieved robustness and flexibility of the architecture allow operation with different values of supply voltage and maximum degree of membership current. Simulations based on CADENCE software were performed …to assess the functionalities. The circuit was prototyped in TSMC CMOS 0.18μ m technology and experimental results show a power consumption of 72.56μ W, 7.86μ W, and 478.1nW when operating with power supplies of 1.2V, 1V, and even with 0.6V, respectively, much less than the nominal supply voltage of the TSMC CMOS 0.18μ m technology (1.8V). These results attest the circuit is robust, low-power, functional and suitable for systems that require energy efficiency, presenting a high potential for practical implementations including those that require real-time dedicated hardware. Show more

Keywords: Analog circuits, low-power, fuzzifier, interval type-2 fuzzy logic

DOI: 10.3233/JIFS-181966

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 6103-6112, 2019

Authors: Akram, Muhammad | Adeel, Arooj | Alcantud, José Carlos R.

Article Type: Research Article

Abstract: Hesitant fuzzy set theory is a renowned approach to the formal modeling of uncertain data. An evidence of its success is that it has been extensively used in multi-attribute decision-making problems. Hesitant fuzzy computations make the decision-makers’ assessments more flexible and rich, thus improving reliability of the decisions that depend on them. In this research article we introduce a novel hybrid model called hesitant fuzzy N -soft sets, which further enhances the virtues of hesitant fuzzy set theory with the benefits of N -soft sets. This theoretical model is capable of incorporating information about the occurrence of ratings or grades …in a hesitant environment. We investigate some useful properties of hesitant fuzzy N -soft sets and construct fundamental operations on them. By doing so we lay the groundwork for subsequent analyses and applications. We then develop novel approaches to decision-making including TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), choice value and L-choice value based on hesitant fuzzy N -soft sets. Finally, we describe potential applications of our model and present the proposed methods as algorithms. Show more

Keywords: N-soft sets, hesitant fuzzy sets, hesitant fuzzy N-soft set, TOPSIS, decision-making

DOI: 10.3233/JIFS-181972

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 6113-6127, 2019

Authors: Zhang, Xia | Sun, Hao | Xu, Genjiu | Hou, Dongshuang

Article Type: Research Article

Abstract:  Depended on the expected values of fuzzy numbers, a total order relation of fuzzy numbers is proposed. We show that three concepts of the indifference fuzzy core, nucleolus and bargaining sets of cooperative games with fuzzy payoffs are well-defined following from this total order relation, whereas it is impossible to define by any partial order relation of fuzzy numbers for these concepts. Moreover, we raise a necessary and sufficient condition for non-emptiness of the indifference fuzzy core. It is further shown that there is at least one fuzzy payoff vector in the indifference fuzzy nucleolus. For convex or superadditive cooperative …games with fuzzy payoffs, the indifference fuzzy bargaining sets coincide with the indifference fuzzy core. Show more

Keywords: Cooperative games, fuzzy payoffs, core, nucleolus, bargaining sets

DOI: 10.3233/JIFS-181982

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 6129-6142, 2019