Journal of Intelligent & Fuzzy Systems - Volume 37, issue 6

Authors: Li, Wen | Zhuang, Yaming | Ren, Zhiliang

Article Type: Research Article

Abstract: Uncertain information is inevitable in real life due to decision makers’ limited rationality and the complexity of correlative problems. Dual hesitant fuzzy linguistic elements (DHFLEs) can collect all the information from two different viewpoints qualitatively and it has become one of the most effective tools for dealing with uncertain information. In this paper, the main contribution is to propose an extended TODIM method under dual hesitant fuzzy linguistic information and to apply this method to deal with a stock selection problem. Firstly, a new distance measure of DHFLEs is proposed for determining the deviation degree between different DHFLEs. Secondly, in …order to distinguish between different DHFLEs effectively, we construct a novel score function of the DHFLE. The score function and the new distance measure are used to complete the extended TODIM method under dual hesitant fuzzy linguistic information. Finally, to show the validity and the practicability, we use the extended TODIM method to solve a practical problem of stock selection. Show more

Keywords: Multi-criteria decision-making, dual hesitant fuzzy linguistic element (DHFLE), TODIM method, distance measure, score function

DOI: 10.3233/JIFS-190194

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 7935-7950, 2019

Authors: Falehi, Ali Darvish | Talavari, Mashallah | Talavari, Abbas

Article Type: Research Article

Abstract: The prominent responsibility of Automatic Generation Control (AGC) is controlling the interchange power flow deviations toward suppression of both the frequency and tie-line power deviation during the disturbance occurrence in the interconnected multi-area power system. To appropriately deliver an electric power with high quality, AGC system needs to be equipped with an efficient and intelligent controller. In this regard, Fractional Order Fuzzy-PID (FOFPID) is proposed for AGC system to enhance the dynamic stability of multi-area interconnected power system. Due to multi-objective nature and importance of the design problem, the parameters of FOFPID controller have been optimally tuned by two multi-objective …optimization algorithms i.e., Multi-Objective Dragonfly Algorithm (MODA) and Non-Dominated Sorting Genetic Algorithm-II (NSGA-II). The damping performance of self-defined FOFPID-AGC has been thoroughly evaluated under different disturbance conditions namely short circuit, load variation and excitation voltage change in the Four-Machine Kundur and Ten-Machine New England. To precisely extract the FOFPID’s parameters, concomitant optimization scheme has been scheduled with consideration of all these disturbances. At last, the damping performance of FOFPID-AGC has been mainly approved by MODA and NSGA-II, and its damping capability has been accordingly validated compared to two defined controllers. Show more

Keywords: FOFPID-AGC, MODA, NSGA-II, dynamic stability, concomitant optimization scheme, multi-area interconnected power system

DOI: 10.3233/JIFS-190228

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 7951-7964, 2019

Authors: Chang, Furong | Zhang, Bofeng | Zhao, Yue | Wu, Songxian | Zou, Guobing | Niu, Sen

Article Type: Research Article

Abstract: A bipartite network is a special kind of complex network that consists of two different types of nodes with edges existing only between the different node types. There are numerous real-world examples of bipartite networks, such as scientific collaboration networks and film-actor networks, among many others. Detecting the community structure of bipartite networks not only contributes to a deeper understanding of their hidden structure, but also lays the foundation for research into the personalized recommendation technology. Most existing algorithms, however, only focus on the detection of non-overlapping community structures while ignoring overlapping community structures. In this study, we developed a …micro-bipartite network model, Bi-EgoNet along with an algorithm called Overlapping Community Detection using Bi-EgoNet (OCDBEN). This algorithm first extracts the sub-bi-community set from each Bi-EgoNet using similarity within the bipartite network and then constructs a global community structure by merging the sub-bi-communities using the double-merger strategy. We evaluated the OCDBEN algorithm with several synthetic and real-world bipartite networks and compared it with existing state-of-the-art algorithms. The experimental results demonstrated that OCDBEN outperformed existing algorithms in both accuracy and effectiveness. Show more

Keywords: Overlapping community, bipartite networks, complex network

DOI: 10.3233/JIFS-190320

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 7965-7976, 2019

Authors: Kanwal, Rani Sumaira | Shabir, Muhammad

Article Type: Research Article

Abstract: A soft set handles indeterminate data. By using an equivalence relation, Pawlak introduced the rough set concept for dealing uncertainty to approximate a set. Many authors generalized the concept and used binary relations to approximate a set. A soft set is approximated in this paper by soft binary relations in the context of the aftersets and foresets. Along these lines, we get two sets of soft sets, called the lower approximation and upper approximation with respect to the aftersets and foresets. We applied these concepts on semigroups and approximations of soft subsemigroups, soft left (right) ideals, soft interior ideals and …soft bi-ideals of semigroups are studied. Moreover, for the illustration of the concept, some examples are considered. Show more

Keywords: Soft relations, Soft set approximation, Soft substructures

DOI: 10.3233/JIFS-190328

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 7977-7989, 2019

Authors: Cheng, Qiang | Wang, Hao | Liu, Zhifeng | Zhang, Caixia | Sun, Dongyang | Qi, Baobao

Article Type: Research Article

Abstract: Reliability allocation is one of the most important factors to consider when determining the reliability and competitiveness of a product. The feasibility-of-objectives (FOO) technique has become the current standard for assessing reliability designs for military mechanical–electrical systems. However, the FOO method has several drawbacks: For instance, it requires that the value of reliability allocation factors is single linguistic variables, and it does not consider the ordered weight of reliability allocation factors, but simply multiplies the ISPE (Complexity (I), State of Art (S), Performance Time (P), and Environment (E)) values one by one. This can lead to erroneous results. To address …these issues, this paper combines the fuzzy allocation method with the maximum entropy ordered weighted averaging method (ME-OWA) to achieve a flexible allocation of system reliability. To verify the effectiveness of the proposed method, the CNC machine tool is taken as an example. The FOO method and the fuzzy allocation method and the proposed method were used to assign reliability to the eight subsystems of a CNC machine tool, and the results were compared to draw conclusions: The proposed method is more flexible and accurate for reliability allocation. Show more

Keywords: Reliability allocation, feasibility-of-objectives technique (FOO), the maximum entropy ordered weighted averaging method (ME-OWA), CNC machine tools

DOI: 10.3233/JIFS-190376

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 7991-8004, 2019

Authors: Dai, Songsong | Cheng, Wentao

Article Type: Research Article

Abstract:  This paper introduces noncommutative symmetric difference operators for fuzzy logics. Structures and properties of these operators are investigated. Finally, pseudo-quasi-metric and pseudo-metric are constructed on [0,1] based on the noncommutative symmetric differences.

Keywords: Noncommutative symmetric difference, t-norm, difference operator, pseudo-quasi-metric

DOI: 10.3233/JIFS-190400

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8005-8013, 2019

Authors: Afraz, Arash | Rezaeealam, Behrooz | SeyedShenava, SeyedJalal | Doostizadeh, Meysam

Article Type: Research Article

Abstract: Due to the necessity of using distributed generation and storage devices in the operation of power systems and with the advancement of technology and industry in the distribution networks, network operators are trying to transform these systems from passive distribution networks to active ones. To this aim, the present study introduces a novel model to exploit an active distribution network from the cost, operation conditions, and reliability points of view. A shared demand management procedure in the presence of storage devices and price-responsive loads is used to improve operational efficiency, and it is presented using a sensitivity matrix. Probability density …functions (PDFs) are used to model uncertainty in power generated by wind systems and PVs, and the fuzzy membership function is used to improve the voltage profile of the network. To optimize the objective function, given that the problem goals are not of the same kind, the multi-objective genetic algorithm, based on the non-dominated concept, is implemented. Proposed optimal planning and exploiting of the active distribution network based on the shared demand management procedure, not only maximize profit, because of peak shaving, upgrade deferral, power exchange, and loss reduction but also, technical indexes and reliability improvement are obtained due to energy storage systems (ESS) and price-responsive loads simultaneous management. The rationality and effectiveness of the proposed method are verified by the simulation results of a 33-bus active distribution network. Show more

Keywords: Active distribution network, energy storage, non-dominated sorting, shared demand management

DOI: 10.3233/JIFS-190420

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8015-8028, 2019

Authors: Sakho, Seybou | Jianbiao, Zhang | Essaf, Firdaous | Mbyamm Kiki, Mesmin J.

Article Type: Research Article

Abstract: The tamper-proof digital database on which are written all exchanges between its users since its inception is named Blockchain. The blockchain is a system of storage distributed on a peer-to-peer network (p2p) using consensus mechanism, asymmetric encryption, smart contracts and other key technologies. In an untrusted environment, blockchain comes to associate the implementation of a mechanism for the exchange of information, transfer of value intended to ensure consistency, and integrity data is the cornerstone of the creation of value future of the Internet. Blockchain technology has the following features: decentralized, safe, reliable, open and transparent. Its characteristics make the most …attractive blockchain and is the subject of all the debates at the safe level. File storage, healthcare, banking, insurance, field and other scenarios are widely used. However, the technology of the blockchain is still some problems, such as the low flow of transactions, easy disclosure of user information, the confidentiality of the data of transactions and the safe limits of algorithms encryption. His problems that must be resolved urgently in its development and its application. As an emerging technology, the blockchain still has plenty other still undiscovered problems, but it has broad prospects of development and should allow the creation of a new decentralized era and a new world of Central governance without organ of management. Show more

Keywords: Blockchain, blockchain security, Privacy protection issue, Scalability issues, peer-to-peer network technology (P2P), consensus mechanism, smart contract, Merkle tree

DOI: 10.3233/JIFS-190449

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8029-8052, 2019

Authors: Zhou, Xiao-Wu | Shi, Fu-Gui

Article Type: Research Article

Abstract: In this paper, some low-level separation axioms of L -convex spaces are introduced, including S -1 , sub-S 0 , S 0 , S 1 and S 2 separation axioms. Some relevant properties of these separation axioms are discussed. In particular, the relationships between convex spaces and induced L -convex spaces on some separation axioms are investigated.

Keywords: L-convex space; S-1; sub-S0; S0; S1; S2

DOI: 10.3233/JIFS-190471

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8053-8062, 2019

Authors: Amali, D. Geraldine Bessie | Dinakaran, M.

Article Type: Research Article

Abstract: This paper proposes a new metaheuristic global optimization algorithm inspired by Wildebeest herding behavior called Wildebeest Herd Optimization (WHO) algorithm. WHO algorithm mimics the way nomadic Wildebeest herds search vast areas of grasslands efficiently for regions of high food density. The WHO algorithm models five principal Wildebeest behaviors: firstly Wildebeests have limited eyesight and can only search for food locally, secondly Wildebeests stick to the herd to escape predators, thirdly Wildebeest herd as a whole migrates to regions of high food availability based on historical knowledge of annual grass growth rates and rainfall patterns, fourthly Wildebeests move out of crowded …overgrazed regions and finally Wildebeests move to avoid starvation. The WHO algorithm is compared to Physics inspired, Swarm based, Biologically inspired and Evolution inspired global optimization algorithms on an extended test suite of benchmark optimization problems including rotated, shifted, noisy and high dimensional problems. Extensive simulation results indicate that the WHO algorithm proposed in this paper significantly outperforms state-of-the-art popular metaheuristic optimization algorithms like Particle Swarm Optimization Algorithm (PSO), Genetic Algorithm (GA), Gravitational Search Algorithm (GSA), Artificial Bee Colony Algorithm (ABC) and Simulated Annealing (SA) on shifted, high dimensional and large search range problems. Show more

Keywords: Global optimization, Wildebeest Herd Optimization Algorithm, biologically inspired metaheuristic, heuristic optimization, heuristic search algorithm

DOI: 10.3233/JIFS-190495

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8063-8076, 2019