Journal of Intelligent & Fuzzy Systems - Volume 30, issue 5

Authors: Mathew, Jill K. | Mathew, Sunil

Article Type: Research Article

Abstract: Strong distance in fuzzy graphs is introduced in this article. With respect to these distances, the concepts of center and self centered fuzzy graphs are introduced and their properties are discussed. A characterization for self centered fuzzy graphs using the max - max composition of the corresponding distance matrices is obtained. Central properties of fuzzy trees and blocks are also discussed.

Keywords: α-distance, β-distance, strong distance, self centered fuzzy graphs

DOI: 10.3233/IFS-151711

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 5, pp. 2497-2503, 2016

Authors: Bagherzadeh Valami, Hadi | Raeinojehdehi, Reza

Article Type: Research Article

Abstract: Data Envelopment Analysis (DEA) is a widely applied approach for measuring the relative efficiencies of a set of Decision Making Units (DMUs), which use multiple inputs to produce multiple outputs. In real world problems the data available may be imprecise. With fuzzy inputs and fuzzy outputs, the optimality conditions for the crisp DEA Models need to be clarified and generalized. The corresponding fuzzy linear programming problem is usually solved using some ranking methods for fuzzy sets. The methods of solving fuzzy DEA problems can be categorized into four distinct approaches: tolerance approach, defuzzification approach, α -level based approach, and fuzzy …ranking approach In this paper, we introduce a new α -level based approach and a numerical method for ranking DMUs with fuzzy data. Show more

Keywords: Data envelopment analysis (DEA), fuzzy mathematical programming, efficiency, Interval data, fuzzy data

DOI: 10.3233/IFS-151756

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 5, pp. 2505-2516, 2016

Authors: Liu, Peide | Tang, Guolin

Article Type: Research Article

Abstract: The interval neutrosophic set (INS) can be better to express the incomplete, indeterminate and inconsistent information, and the power average (PA) operator can take all the decision arguments and their relationships into account, and the generalized weighted aggregation (GWA) operator can reflect the mentality of the decision-makers. In this paper, we combined PA and GWA operators to INS, and proposed some aggregation operators, include interval neutrosophic power generalized aggregation (INPGA) operator, interval neutrosophic power generalized weighted aggregation (INPGWA) operator and interval neutrosophic power generalized ordered weighted aggregation (INPGOWA) operator. Firstly, we presented some new operational laws for interval neutrosophic sets …and studied their properties. Then we proposed INPGA, INPGWA and INPGOWA operators, and studied some properties and special cases of them. Further, we gave a decision making method based on these operators. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness, and to illustrate the influence of the parameter on decision making results in INPGWA operator. Show more

Keywords: Interval neutrosophic set, power average, generalized weighted aggregation (GWA) operator, ordered weighted aggregation (OWA) operator, multiple attribute decision making

DOI: 10.3233/IFS-151782

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 5, pp. 2517-2528, 2016

Authors: Wu, Jian-Zhang | Yu, Li-Ping | Li, Guiping | Jin, Jia | Du, Bisheng

Article Type: Research Article

Abstract: In the field of multicriteria decision analysis, the most distinctive characteristic of the monotone measure, or called the nonadditive measure, the fuzzy measure, the capacity, is that it can adequately and flexibly describe the interactions between the decision criteria. Traditionally, the interaction described with the monotone measure can be measured by the various kinds of the probabilistic interaction indices, among which the Shapley interaction index is the most famous and suitable one for the multicriteria decision making. Inspired by the marginal interaction of the multiple decision criteria, which is a core notion of the probabilistic interaction indices, we define the …extremely positive and negative interaction cases of the multiple decision criteria, and find interestingly that the monotone measure sum (see Definitions 6 and 7) can be taken as an index to measure the kind and degree of the interaction of the multiple decision criteria. Further, we propose a new type of interaction index, i.e., the sum interaction index, and investigate its properties with respect to the additive, subadditive and superadditive monotone measures. Some comparison analyses of the sum interaction index with the Shapley interaction index are also given by several illustrative examples. Show more

Keywords: Multicriteria decision analysis, monotone measure, shapley interaction index, sum interaction index

DOI: 10.3233/IFS-151787

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 5, pp. 2529-2539, 2016

Authors: Sun, Bing | Zhu, Daqi | Yang, Simon X.

Article Type: Research Article

Abstract: For underactuated underwater vehicles, a real-time hybrid design of dynamic tracking control law is proposed for trajectory tracking and obstacle avoidance. In recent works, sliding mode control (SMC) law has been presented and experimentally implemented for position tracking of an underactuated autonomous surface vessel. It is extended to the underactuated underwater vehicle case and finds it still work for trajectory tracking problem. The thruster saturation problem is considered for the real case. The major innovation is the solution of how to deal with obstacle avoidance in the predefined trajectory tracking mission. In order to deal with this problem, a hybrid …control strategy is proposed for static and dynamic obstacle case respectively. Then, to show the effectiveness of the proposed method, trajectory tracking control under different conditions are conducted including static and dynamic obstacles. The experiment results show that the proposed method can deal with tracking and obstacle avoidance quite well. Show more

Keywords: Underactuated underwater vehicles, tracking control, obstacle avoidance, sliding mode control

DOI: 10.3233/IFS-151799

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 5, pp. 2541-2553, 2016

Authors: Bakhshi, Mahmood

Article Type: Research Article

Abstract: In this paper, we introduce the notion of a nodal filter in residuated lattices. We give several characterizations of these filters and also some relationships between these filters and other types of filters are obtained, as well. Finally, we prove that the class of all nodal filters of a residuated lattice forms a Heyting algebra.

Keywords: Algebras of logics, residuated lattice, node, nodal filter, Heyting algebra

DOI: 10.3233/IFS-151804

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 5, pp. 2555-2562, 2016

Authors: Mohammadi, Mehrdad | Tavakkoli-Moghaddam, Reza

Article Type: Research Article

Abstract: Nowadays in all shipment delivery systems, most of customers are looking for companies that offer fast and reliable delivery service as well as guarantee when deliveries will be made. With variability in travel time, the configuration of the hub-and-spoke network is vital to meet the delivery service requirement. For this purpose, a bi-objective stochastic p -hub center problem is considered to investigate the effect of delivery service requirement on the configuration of the hub-and-spoke network with fuzzy parameters, in which hub operational nodes may disrupt and fail to operate shipments. Since delivery time of the shipments is the sum of …transit time over the links and spent time at the hubs, spent times with fuzzy arrival of shipments are calculated by utilizing a fuzzy M/M/1 queuing system. In order to solve large-sized instances of the presented mathematical model, two meta-heuristic algorithms, namely SA and self-adaptive DE (SADE) are developed and their performances are evaluated using a proposed lower bound approach. Computational experiments are provided to demonstrate the effectiveness of the proposed model and solution approaches. Finally, a real transportation case is studied. Show more

Keywords: Hub center problem, reliable hub network, fuzzy queuing system, multi-objective optimization, meta-heuristic algorithm

DOI: 10.3233/IFS-151846

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 5, pp. 2563-2580, 2016

Authors: Lian, Jing | Li, Linhui | Liu, Xuanzuo | Huang, Haiyang | Zhou, Yafu | Han, Hu

Article Type: Research Article

Abstract: This paper is concerned with the self-adaptive control problems for the parallel hybrid electric power systems based on the fuzzy relative membership classification theory and an adaptive control strategy optimization method for HEV dynamic systems is proposed. This optimized control strategy can adaptively adjust its control parameters based on the real-time driving cycle, effectively improving the fuel economy of the HEV. Firstly, four types of representative driving cycles are constructed based on actual vehicle operating data, using principal component analysis and cluster analysis to reflect the actual vehicle running conditions. Additionally, the optimal control parameters for each type of representative …driving cycle are determined. Then, a fuzzy driving cycle recognition algorithm is proposed for online recognition of the actual driving cycle type. The optimal control parameters for the identified driving cycle type are then updated in the vehicle controller, to automatically realize control strategy optimization for different driving cycles. Finally, simulation experiments are conducted to verify the accuracy of the proposed fuzzy recognition algorithm and the validity of the designed control strategy optimization method. Show more

Keywords: Fuzzy recognition, intelligent learning, control strategy, hybrid electric vehicle

DOI: 10.3233/IFS-151861

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 5, pp. 2581-2592, 2016

Authors: Sarvestani, Mohammad Reza Edalat | Shahraki, Mohammad Reza | Anisseh, Mohammad

Article Type: Research Article

Abstract: Since the successful performance of the projects results from their complicated nature and internal non-reliability, risk evaluation for gaining success in management and project performance, is a required factor. In reality, due to the complicated nature of the projects and lack of specialized manpower, attaining comprehensive information in connection with project risks shall be difficult, while there is a little information about them. The Jackknife resampling method is therefore used meticulously to solve such problems and estimate the society parameter. In this paper, non-parameter Jackknife resampling method has been used for interval estimation of risks, considering the concept of the …confidence interval and opinions of the specialists. Then evaluation and classification of major project risks have been made, using interval analysis method. A case study has also been presented to prove the efficiency of the proposed method and finally the comparison of the results of this method with those of Bootstrap sampling methods were presented. The results of this research have indicated that the proposed method not only plays an important role in lowering the expenses and is timely economical, but also gives more meticulous results in proportion to the Bootstrap sampling method. Show more

Keywords: Project risks ranking, jackknife resampling method, interval analysis, construction project

DOI: 10.3233/IFS-151877

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 5, pp. 2593-2600, 2016

Authors: Chen, Lei | Wang, Ying-Ming

Article Type: Research Article

Abstract: The fuzzy data envelopment analysis (FDEA) method lacks sufficient discrimination power to rank efficient decision making units (DMUs) with fuzzy data; moreover, it evaluates DMUs using only self-evaluation. This paper develops the fuzzy cross efficiency (FCE) DEA model that combines self-evaluation with peer-evaluation to eliminate the weaknesses of traditional FDEA. This method solves the efficiency evaluation problem in fuzzy environments from a new perspective. An effective method is provided to solve this model, and the ranking results of DMUs at different α -levels are obtained. Finally, an example is given to illustrate the proposed method in greater detail.

Keywords: Data envelopment analysis (DEA), fuzzy cross efficiency (FCE), ranking

DOI: 10.3233/IFS-151878

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 5, pp. 2601-2609, 2016