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

Authors: Zhou, Jian | Liu, Lin-Feng | Sun, Li-Juan | Xiao, Fu

Article Type: Research Article

Abstract:  The hesitant fuzzy linguistic term set (HFLTS) is usually used in the uncertain decision situation. In order to solve the problem of multi-criteria decision-making (MCDM) with HFLTS, a new MCDM method based on the cloud model and evidence theory is proposed in this paper. A new envelope, whose representation is a synthetic cloud generated by the multiple linguistic term in the HFLTS, is presented for HFLTS to facilitate the computing processes and take both the randomness and fuzziness of linguistic variables into consideration. As to overcome the drawbacks of tradition aggregation operator, the criteria values in the form of the …belief degrees are obtained from the synthetic clouds and aggregated using the evidential reasoning algorithm. An illustrative example, which is given to confirm the feasibility and validity, also shows that with the proposed method more reasonable and accurate ranking results can be obtained. Moreover, the belief degree of each linguistic term as well as the hesitant degree of the assessment can be obtained simultaneously. Show more

Keywords: Hesitant fuzzy linguistic term set, multi-criteria decision-making, cloud model, evidence theory, uncertainty

DOI: 10.3233/JIFS-18051

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1797-1808, 2019

Authors: Xu, Yejun | Wen, Xiaowei | Zhang, Ziqiang

Article Type: Research Article

Abstract: In practical group decision making (GDM) problems, decision maker (DM) may have to tackle with incomplete information and uncertain linguistic preference relation (ULPR ). Consequently, the DMs may provide incomplete ULPR s . In this paper, the property of additive transitivity of fuzzy preference relations is extended to linguistic domain firstly. Then, this property is extended to ULPR . Subsequently, an algorithm is developed to construct an additive consistent ULPR from a set of n- 1 preference relation data, and a procedure is established to estimate missing values with more known elements. An algorithm is proposed to deal with …hierarchy process GDM problem with incomplete ULPRs . Finally, a case study is illustrated to show the practicality of the proposed methods. Show more

Keywords: Incomplete uncertain linguistic preference relation, additive consistency, group decision making, missing values estimation

DOI: 10.3233/JIFS-18079

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1809-1822, 2019

Authors: Abdullah, Monir | Al-Muta’a , Ebtsam A. | Al-Sanabani, Maher

Article Type: Research Article

Abstract: Task Scheduling is one of the most challenging problems in cloud computing. It is an NP-Hard and plays an important role in optimizing the use of available resources. Recently, Multi-Objectives Genetic Algorithm (MOGA) is proposed for cloud tasks scheduling. However, the execution time of the GA is higher than Particle Swarm Optimization (PSO), and the convergence is slower. PSO converges fast because it can be implemented without too many parameters and operators. In this paper, Multi-Objectives PSO (MOPSO) and MOPSO with Importance Strategy (IS) (MOPSO_IS) algorithms are proposed. MOPSO algorithm is integrated with the IS to select the global best …leader. Furthermore, incorporating a mutation operator in MOPSO_IS resolved the problem of premature convergence to the local Pareto-optimal front. The performance of the proposed algorithms was compared with MOGA and produced better results. The results of the experiments showed that the proposed MOPSO and MOPSO_IS significantly minimized the total task time and average task time and obtained better distribution for tasks on the available resources in a minimal time. Show more

Keywords: Cloud computing, load balancing, swarm intelligence, multi-objectives optimization.

DOI: 10.3233/JIFS-181005

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1823-1836, 2019

Authors: Panchade, V.M. | Chile, R.H. | Patre, B.M.

Article Type: Research Article

Abstract: This manuscript investigates speed and flux tracking control method based on quasi-continuous sliding mode control (SMC) for induction motor (IM). To overcome the problem of conventional SMC, a quasi-continuous second-order sliding mode controller (QC2SMC) is first designed. QC2SMC produces continuous control and less chattering. Chattering exists during the control action of QC2SMC when the system remains on the sliding manifold. However, it is difficult to select sliding mode (SM) controller gain that minimizes the reaching time on sliding manifold. So as to reduce the chattering, fuzzy-adapted QC2SMC (FQC2SMC) is designed, in which the fuzzy system is employed to adaptively tune …the SM controller gain. Moreover, with the intention of reduce chattering and achieve high tracking accuracy, quasi-continuous third-order sliding mode controller (QC3SMC) is investigated. However, the transient response of QC3SMC is very slow. This is the main constraint of QC3SMC and overcome by applying a fuzzy-adapted QC3SMC (FQC3SMC) is intended. Control structure incorporates a state observer based on a super twisting algorithm to estimate the rotor flux and torque from stator currents and rotor speed. By using robust exact differentiator, estimation of the sliding surface derivative and designing of an observer for load torque are not needed. The convergence of controllers can be guaranteed and analyzed by using Lyapunov function. Here, simulation results are included to validate the effectiveness of the proposed strategy. Show more

Keywords: quasi continuous sliding mode, sliding mode observer (SMO), chattering phenomenon, robustness, induction motor (IM)

DOI: 10.3233/JIFS-17548

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1837-1854, 2019

Authors: Foroozesh, N. | Tavakkoli-Moghaddam, R. | Mousavi, S. Meysam

Article Type: Research Article

Abstract: This study presents a new soft computing approach based on failure mode and effects analysis (FMEA)’s concept for sustainable supplier selection problem (SSSP) in the light of multi-attributes decision analysis. The approach determines weights of experts by considering interval-valued fuzzy sets (IVFSs) and asymmetric uncertainty information simultaneously. The presented group decision approach assesses the sustainable suppliers as indicated by risks of economic, social and environmental measurements. Ideas of fuzzy possibilistic statistical modeling are brought into the soft computing approach. New definitions are enhanced by fuzzy possibilistic statistical positive and negative ideal solutions. In addition, new relations of fuzzy evaluating and …prioritizing of the risks are presented. Then, an application example is tackled by the presented soft computing approach to exhibit its capacity by three measurements of the sustainability for the evaluation of sustainable suppliers. Show more

Keywords: Sustainable supplier selection problem, soft computing approach, group decision making process, weights of experts, interval-valued fuzzy possibilistic modeling

DOI: 10.3233/JIFS-17467

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1855-1866, 2019

Authors: Hussain, Basharat | Nawaz, Shah | Yousaf, Muhammad Haroon

Article Type: Research Article

Abstract: Real-time vehicle detection is one of the challenging problems for automotive and autonomous driving applications. Object detection using Deformable Parts Model (DPM) proved to be a promising approach providing higher detection accuracy. But the baseline DPM scheme spends 98% of its execution time in loop processing thus highlighting the drawback of higher computational cost for real time applications. In this paper, we have proposed a real time vehicle detection scheme for a low-powered embedded Graphics Processing Unit (GPU). The proposed scheme is based upon DPM approach using CUDA programming with different parallelization and loop unrolling schemes to reduce computational cost …of DPM. Three loop unrolling schemes i.e. loosely unrolled, tightly unrolled and hybrid unrolled is proposed and implemented on two different datasets. Finally, we provided an optimal solution for vehicle detection with minimum execution time without having any impact on vehicle detection accuracy. We achieved a speedup of 3x to 5x as compared to state-of-the-art GPU implementation and 30x as compared to baseline CPU implementation of DPM on a low-powered automotive-grade embedded computing platform which features a Tegra K1 System on Chip (SOC), thus getting advantage of improved efficiency through parallel computation of CUDA. Show more

Keywords: Automous driving, GPU programming, vehicle detection, computer vision

DOI: 10.3233/JIFS-172303

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1867-1877, 2019

Authors: Liu, Peide | Xu, Hongxue

Article Type: Research Article

Abstract: For a multi-attribute group decision making (MAGDM) problem where the attribute values are intuitionistic uncertain linguistic variables (IULVs), we propose a novel decision making method based on hybrid aggregation operator of IULVs. Firstly, new operational rules of IULVs are proposed based on linguistic scale functions (LSFs) to overcome the existing shortcoming in which the operations on linguistic variables (LVs) directly based on the subscripts of linguistic terms (LTs) are not closed, then the expected value and accuracy function of IULVs are introduced. Further, some aggregation operators for IULVs are proposed, including the weighted geometric average operator for IULVs (IULWGA), ordered …weighted geometric operator for IULVs (IULOWG), then the hybrid geometric operator for IULVs (IULHG) are developed, which could consider the weights of attributes and their ranking positions. However, because IULHG don’t meet some desirable properties, we proposed a new hybrid weighted geometric operator for IULVs (IULHWG) which can not only weight the importance of each argument and its ordered position but also maintain some desirable properties. Based on these operators, an approach to MAGDM with IULVs has been proposed. Finally, an illustrative example is provided to show the steps of the developed approach and to demonstrate its practicality and effectiveness. Show more

Keywords: Linguistic variables, intuitionistic fuzzy set (IFS), MAGDM, aggregation operator

DOI: 10.3233/JIFS-172305

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1879-1898, 2019

Authors: Shakeel, M. | Abduulah, S. | Shahzad, M. | Mahmood, T. | Siddiqui, N.

Article Type: Research Article

Abstract: The aim of this paper is to investigate information aggregation methods under Pythagorean trapezoidal fuzzy environment. Pythagorean fuzzy set, an extension of the intuitionistic fuzzy set which relax the condition of sum of their membership function to square sum of its non-membership functions is less than one. In this paper, we proposed some operational rules based on PTFNs and verified their some properties. we developed some aggregation operators to use the decision information represented by PTFNS, including the Pythagorean trapezoidal fuzzy weighted averaging (PTFWA) operator, Pythagorean trapezoidal fuzzy ordered weighted averaging (PTFOWA) operator and Pythagorean trapezoidal fuzzy hybrid averaging (PTFHA) …operator. Furthermore, we proved their some desirable properties. Based on the (PTFWA) operator, the PTFOWA operator and the PTFHA operator, we presented some new method to deal with the multi-attribute group decision making (MAGDM) problems under the Pythagorean trapezoidal fuzzy environment. Finally, we used some practical example to illustrate the validity and feasibility of the proposed methods by comparing with other methods. Show more

Keywords: Trapezoidal fuzzy numbers, pythagorean trapezoidal fuzzy numbers, aggregation operators, group decision making

DOI: 10.3233/JIFS-17238

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1899-1915, 2019

Authors: Amanathulla, Sk | Sahoo, Sankar | Pal, Madhumangal

Article Type: Research Article

Abstract: For a graph G = (V, E ) the L (3, 1, 1)-labeling is a mapping μ from the vertex set V to the set of non-negative integers {0, 1, 2, …} such that |μ (x ) - μ (y ) |≥3 if d (x, y ) =3 and |μ (x ) - μ (y ) |≥1 if d (x, y ) =2 or 3, where d (x, y ) is the distance between the vertices x and y . λ 3,1,1 (G ) represents the L …(3, 1, 1)-labeling number of the graph G and it is the largest non-negative integer used to label the graph G . In the present article we have studied L (3, 1, 1)-labeling of squares of some simple graphs, namely square of paths ( P n 2 ) , square of complete graphs ( K n 2 ) and square of complete bipartite graphs ( K p , q 2 ) and we obtained good results for these graph classes. The results produced in this article are unique and exact. This is the first result about L (3, 1, 1)-labeling for these graph classes. Show more

Keywords: Frequency assignment, L (3, 1, 1)-labeling, square of paths, square of complete graphs, square of complete bipartite graphs

DOI: 10.3233/JIFS-172195

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1917-1925, 2019

Authors: Liu, Qi | Shi, Fu-Gui

Article Type: Research Article

Abstract: In the present paper we introduce the notion of M -fuzzifying median algebras, which is an extended notion of median algebras in van de Vel. It can further induce M -fuzzifying convex spaces and M -fuzzifying interval spaces, respectively. We study some mapping relations of these concepts. Some characterizations and properties of M -fuzzifying median algebras, M -fuzzifying convex spaces and M -fuzzifying interval spaces are given. Specially, an M -fuzzifying median algebra can not only induce an M -fuzzifying geometric interval operator but also obtain a special M -fuzzifying modular space.

Keywords: M-fuzzifying median algebra, M-fuzzifying convex structure, M-fuzzifying interval operator, M-fuzzifying modula operator

DOI: 10.3233/JIFS-172271

Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1927-1935, 2019