Journal of Intelligent & Fuzzy Systems - Volume 36, issue 2

Authors: Wahid, Fazli | Alsaedi, Ahmed Khalaf Zager | Ghazali, Rozaida

Article Type: Research Article

Abstract: Firefly algorithm (FA) is one of the most recently introduced stochastic, nature-inspired, meta-heuristic approaches that have seen countless applications in solving various types of optimization problems. The major source of inspiration leading to the development of FA is the phenomenon of light emission by fireflies that attract other fireflies for their potential mates. All the fireflies are unisexual and attract each other according to the intensities of their flash lights. Higher the flash light intensity, higher is the power of attraction and vice versa. For solving optimization problem, the brightness of flash is associated with the fitness function to be …optimized. The firefly algorithm is advantageous over other optimization algorithms due to its flexibility, simplicity, robustness and easy implementation but a major drawback associated with the standard FA applied for solving different optimization problems is poor exploitation capability when the randomization factor is taken large during firefly changing position. This poor exploitation may lead to skip the most optimal solution even present in the vicinities of the current solution which results in poor local convergence rate that ultimately degrades the solution quality. To overcome this problem, the crossover operator of genetic algorithm (GA) is incorporated into firefly position changing stage that results in better exploitation capability which improves the local convergence rate resulting in better solution quality. The performance of the proposed approach has been compared with standard FA, GA, artificial bee colony (ABC) and ant colony optimization (ACO) algorithms in terms of convergence rate for various types of minimization and maximization optimization functions. Show more

Keywords: Firefly algorithm, hybrid firefly algorithm, optimization functions, faster convergence rate, better solution quality, crossover operator

DOI: 10.3233/JIFS-181936

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1547-1562, 2019

Authors: Senapati, Tapan | Jun, Young Bae | Shum, K.P.

Article Type: Research Article

Abstract: In this paper, we first introduce the concept of cubic intuitionistic sets in B -algebras. We consider the cubic intuitionistic subalgebras, the cubic intuitionistic ideals and also the cubic intuitionistic closed ideals of a B -algebra. Further properties and relationships of the above algebraic structures are discussed and investigated.

Keywords: B-algebra, cubic intuitionistic subalgebra, cubic intuitionistic ideal, closed cubic intuitionistic ideal

DOI: 10.3233/JIFS-18518

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1563-1571, 2019

Authors: Martínez-Villaseñor, Lourdes | Ponce, Hiram | González-Mendoza, Miguel

Article Type: Research Article

Abstract: Schema matching is used for data integration, mediation, and conversion between heterogeneous sources. Nevertheless, mappings identified with an automatic or semi-automatic process can never be completely certain. In a process of concept alignment, it is necessary to manage uncertainty. In this paper, we present a fuzzy-based process of concept alignment for uncertainty management in schema matching problem. The ultimate goal is to enable interoperability between different electronic health records. Data integration of health information is done through the mediation of our ubiquitous user model framework. Results look promising and fuzzy theory proved to be a good fit for modeling uncertain …schema matching. Fuzzy combined similarities can handle uncertainty in the schema matching process to enable interoperability between electronic health records improving the quality of mappings and diminishing the human error to verify the mappings. Show more

Keywords: Fuzzy aggregation, electronic health records, schema matching, uncertainty, ubiquitous interoperability

DOI: 10.3233/JIFS-18526

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1573-1585, 2019

Authors: Ton-That, An H. | Cao, Nhan T.

Article Type: Research Article

Abstract:  This paper introduces a fuzzy approach for classifying speech emotions in which a fuzzy inference system based on fuzzy associative memory (FAM-FIS) is used for recognizing speech emotions. Experiments on two databases of emotion speech Emo-DB in German and SAVEE in English, and feature of Mel-Frequency Cepstral Coefficients (MFCC) showed that the accuracy rates of the fuzzy inference system are better than that of Bayes and Support Vector Machine (SVM) on same kind of features and databases. Namely, with MFCC feature and 19 dimensions, Emo-DB is 74.31% and SAVEE is 97.29%.

Keywords: Speech emotion recognition, fuzzy inference systems, fuzzy associative memory, pattern recognition, fuzzy approach

DOI: 10.3233/JIFS-18594

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1587-1597, 2019

Authors: Wang, Jun | Zhang, Runtong | Zhu, Xiaomin | Zhou, Zhen | Shang, Xiaopu | Li, Weizi

Article Type: Research Article

Abstract: Recently proposed q -rung orthopair fuzzy set (q -ROFS) is a powerful and effective tool to describe fuzziness, uncertainty and vagueness. The prominent feature of q -ROFS is that the sum and square sum of membership and non-membership degrees are allowed to be greater than one with the sum of q th power of the membership degree and q th power of the non-membership degree is less than or equal to one. This characteristic makes q -ROFS more powerful and useful than intuitionistic fuzzy set (IFS) and Pythagorean fuzzy set (PFS). The aim of this paper is to develop some …aggregation operators for fusing q -rung orthopair fuzzy information. As the Muirhead mean (MM) is considered as a useful aggregation technology which can capture interrelationships among all aggregated arguments, we extend the MM to q -rung orthopair fuzzy environment and propose a family of q -rung orthopair fuzzy Muirhead mean operators. Moreover, we investigate some desirable properties and special cases of the proposed operators. Further, we apply the proposed operators to solve multi-attribute group decision making (MAGDM) problems. Finally, a numerical instance as well as some comparative analysis are provided to demonstrate the validity and superiorities of the proposed method. Show more

Keywords: q-rung orthopair fuzzy set, Muirhead mean, q-rung orthopair fuzzy Muirhead mean, Multi-attribute group decision making

DOI: 10.3233/JIFS-18607

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1599-1614, 2019

Authors: Xu, Yi | Hu, Shanzhong

Article Type: Research Article

Abstract: Classical rough set theory is based on the conventional indiscernibility relation. It is not suitable for analyzing incomplete information. Some successful extended rough set models based on different non-equivalence relations have been proposed. The data-driven valued tolerance relation is such a non-equivalence relation. However, when predicting the unknown attribute value of an object, it regards the frequency of an attribute value approximately as the probability of appearance of this value, without considering the effects of other known attribute values of this object on predicting the unknown attribute value. In this paper, considering both the frequency of the known attribute values …and the influence weight to predict the unknown attribute values. Modified data-driven valued tolerance relation (MDVT) is defined. On this basis, an extended rough set model based on modified data-driven valued tolerance relation is proposed. Some properties of the new model are analyzed. Experimental results show that the MDVT can get better classification results than other generalized indiscernibility relations. Show more

Keywords: rough set, incomplete information system, valued toleration relation, influence weight

DOI: 10.3233/JIFS-18658

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1615-1625, 2019

Authors: Perez, Ramón | Vásquez, Carmen | Viloria, Amelec

Article Type: Research Article

Abstract: The exact location of faults in the electrical distribution systems is a problem that affects not only the users, but also the companies providing the electric service. With greater time invested in this period, the losses due to unbilled energy and inconvenience to users increases, thus decreasing the quality of service. One of the causes of the growth in time is the misunderstanding that might exist in the localization systems that act under the presence of distributed generation sources in the distribution networks. In this sense, the present research develops an intelligent diagnosis of faults in distribution systems with distributed …generation. Three stages are defined: Identification of the type of fault, the location of the zone, and the exact point of fault. A mixed method based on artificial intelligence and mathematical algorithms is applied. Eleven different types of faults that can occur in a distribution system are considered with six different values of fault resistances ranging from 5 to 30 Ω . The errors found are less than 2% in the location of the fault point with robustness to variations in the load and the penetration of distributed generation. Show more

Keywords: Fault identification, fault location, electric distribution systems, distributed generation, accuracy

DOI: 10.3233/JIFS-18807

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1627-1637, 2019

Authors: Basjaruddin, Noor Cholis | Sutjiredjeki, Ediana | Akbar, Hilman Wahyu Caesar

Article Type: Research Article

Abstract: An electronic glove is a sensor-equipped glove for detecting changes in the motion or the bending of a finger. The function of an electronic glove can replace the function of a remote control, especially for people with disabilities. In this study, we designed and realized a glove equipped with a flex sensor on each finger to detect the bending of the finger and used a mobile robot as the plant of the electronic glove. The system works by detecting finger-bending in the right hand and processing it into the commands stop, forward, backward, forward left and forward right. The flex …sensor resistance value caused by the finger-bending is used as an input for fuzzy logic control and produces the output to control the mobile robot. The flex sensor is capable of varying values between normal conditions of 27.2 kΩ up to a maximum of 46 kΩ . The lowest speed of the mobile robot is 0.75 m/s, with a maximum speed of 2.17 m/s. The commands from the electronic glove are sent to the mobile robot wirelessly with a maximum distance between electronic glove and the mobile robot of 200 m in an obstacle-free situation. Based on the experimental results, 100% of the orders were executed according to the design. The use of fuzzy logic ensures that every bending change is accompanied by a change in speed, so that mobile robot movements become smoother. Show more

Keywords: Electronic glove, flex sensor, fuzzy logic, mobile robot

DOI: 10.3233/JIFS-18968

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1639-1645, 2019

Authors: Shen, Kai-Wen | Wang, Jian-Qiang | Wang, Tie-Li

Article Type: Research Article

Abstract: The Z-number has become a new representation of evaluation information because of its superiority in describing reliability measure. Current studies focuses mainly on the unidimensional Z-number like Z = (about 25 min, usually). Studies on multidimensional cases have not been reported. However, because people often describe things from various aspects, using only one aspect of information to describe uncertain events fully is difficult. In this paper, we propose the concept of the multidimensional Z-number, such as ((about 20 miles, about 25 min), usually) to handle complex information. For this purpose, we first define the basic operations of the multidimensional Z-number. …We then propose a feasible comparison method. The effectiveness of the proposed method is demonstrated by a series of numerical examples. Show more

Keywords: Z-number, multidimensional Z-number, operations of probable events, multi-criteria decision-making

DOI: 10.3233/JIFS-18927

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1647-1661, 2019

Authors: You, Cuilian | Zhang, Ruili | Su, Ke

Article Type: Research Article

Abstract: Fuzzy variable is a function from a credibility space to the set of real numbers. The convergence of fuzzy variables is important component of credibility theory, which can be applied into real problems in engineering and mathematical finance. Inspired by these, we will discuss some properties of convergence for fuzzy variables. At the same time, the conditions of convergence almost surely, convergence in credibility and convergence in mean for fuzzy variables will be given.

Keywords: Fuzzy variable, credibility measure, credibility theory, convergence theorem

DOI: 10.3233/JIFS-18986

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1663-1670, 2019