Journal of Intelligent & Fuzzy Systems - Volume 33, issue 5

Authors: Fernández-Martínez, M. | Guirao, Juan L.G. | Vera, J.A.

Article Type: Research Article

Abstract: Moran’s Theorem is one of the milestones in Fractal Geometry. It allows the calculation of the similarity dimension of any (strict) self-similar set lying under the open set condition. Throughout a new fractal dimension we provide in the context of fractal structures, we generalize such a classical result for attractors which are required to satisfy no separation properties.

Keywords: Fractal, iterated function system, IFS-attractor, fractal structure, fractal dimension, box dimension, Hausdorff dimension

DOI: 10.3233/JIFS-169312

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2631-2635, 2017

Authors: Li, Guo | Kang, Yuchen | Liu, Mengqi

Article Type: Research Article

Abstract: The dual-source procurement strategy does not necessarily reduce the cost of manufacturers under supply disruption risks. This paper differs from studies on the use of a backup supplier by manufactures; it focuses on the impact of inventory status, the recovery situation of production capacity, and the degree of supply disruption using the dual-source procurement strategy when supply disruption occurs. We analyze different degrees of supply disruption situations, and then establish the manufacturer’s profit functions in different situations. We further demonstrate the impact of each decision variable through numerical examples using the dual-source procurement strategy. This study provides a theoretical basis …for the manufacturer’s decision on whether and how to use the dual-source procurement strategy given varying degrees of supply disruption risks. Show more

Keywords: Dual-source procurement strategy, the parameter analysis, supply disruption risk, backup supplier

DOI: 10.3233/JIFS-169313

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2637-2645, 2017

Authors: Li, He | Changhu, Liu | Jiange, Tao

Article Type: Research Article

Abstract: The Haier’s environmental invest have a positive impact on Economic and environmental performance. The pollution and waste created by enterprises has increasingly become a serious problem as it leads to deterioration of ecological environment and climate change. The enterprises are tend to ignore the impact of toxic waste on the environment, and the lack of initiative from governing bodies to fulfill the environmental responsibility of enterprises will inevitably lead to serious damage to the natural environment. To perform their environmental responsibility, calculating the costs and benefits of environmental protection invest is an important content of enterprises’ performance assessment. In the …present paper, Haier enterprises’ environmental responsibility was analyzed by calculating their environmental protection invest, reduction of environmental pollutants emission, and optimization of energy from 2007 to 2011. Grey clustering evaluation model was constructed using selected environmental cost and benefit indices, the evaluation results were analyzed, and the effects of environmental invest on environmental benefit in enterprises’ energy-saving emission and low carbon development were discussed. The study results showed that the enterprises’ environmental invest have a long-term impact on business performance. Because of increasing investments in environmental cost, Haier’s environmental performance has improved significantly, and the impacts of environmental investment are perennial. The enterprises’ environmental awareness and contribution on prevention of toxic waste resulted in increased economy, and improvement in energy consumption indicators, pollutant emission indicators, and greenhouse gases emission indicators. Show more

Keywords: Environmental cost, environmental benefit, environmental performance, grey clustering analysis, multidimensional grey evaluation

DOI: 10.3233/JIFS-169314

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2647-2656, 2017

Authors: Zhike, Ding | Yuxue, Li | Xiaoqing, Yang | Jin, Maozhu

Article Type: Research Article

Abstract: Platformization is an important direction for business in the present and future. Platforms with strong flexibility are able to quickly respond to changes in the internal and external environment. So businesses can effectively avoid all kinds of risks and keep steady and sustainable development. The flexibility evaluation of platform organization is the key point to improve the flexibility of the platform enterprise. Based on the international and domestic related research, this paper constructs an evaluation index system of flexibility for platform organization and puts forward a kind of method to evaluate the flexibility of platform organization based on fuzzy linguistic …variables. Finally, the feasibility and practicability of the method are verified by a numerical example. Show more

Keywords: Fuzzy linguistic variables, platform organization, flexibility

DOI: 10.3233/JIFS-169315

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2657-2666, 2017

Authors: Guo, Chunxiang | Shi, Rui-Li | Jin, Maozhu

Article Type: Research Article

Abstract: The reality of group decision problem is often a complex large group problem, and because of the influence of the factors such as personality, psychology, values and connection degree, group members can form different community organizations. The structure of community organizations and the individual influence index of member have a significant influence on the decision results. On the basis of individual influence index as well as recessive community organization, considering the individual heterogeneity and the community in group, the article put forward an individual interaction and opinion evolution model of dynamic group decision-making which is more accord with the actual …group behavior, and the feasibility and effectiveness of the model proposed in this paper are illustrated with simulation experiments by matlab platform. The simulation results show that the number of the community in group decision could affect the evolution of the group opinion, as well as the nature of the community, semi-open type of community not only does not prevent the convergence point of view, it will facilitate decision-making reached a certain extent. In addition, the change of community nature and amount will have an impact on the convergence point of view. Show more

Keywords: Decision group, opinion evolution, complex network, recessive community, individual influence power

DOI: 10.3233/JIFS-169316

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2667-2676, 2017

Authors: Tang, Zhaoping | Qin, Jin | Sun, Jianping

Article Type: Research Article

Abstract: Considering the uncertainty existing in the railway emergency rescues such as the demand uncertainty of resources, the uncertainty of emergency start time, as well as the uncertainty of urgency degree to rescue and emergency, it was studied that the railway emergency resources dispatching optimization problems with multi-demand point, multi-depot and multi-resource in the paper. The uncertainties in problems were dealt with by fuzzy theory method. A multi-objective programming model is established by maximizing the time satisfaction degree of resources dispatching and minimizing the total cost. In view that the initial emergency rescue resources may be inadequate, by use of GC-TOPSIS …with objective entropy weight, the emergency rescue priority queue were sorted. Combined with the ideal point method, the restricted parameter interval search method for optimal solution was proposed, which can quickly seek the Pareto optimal solution. It provides the effective solving method for large-scale railway rescue resource dispatching under uncertainty conditions. Show more

Keywords: Emergency resource dispatching, uncertainty, GC-TOPSIS model, fuzzy theory, the restricted parameter interval method

DOI: 10.3233/JIFS-169317

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2677-2686, 2017

Authors: Minjing, Peng | Xinglin, Liu | Ximing, Luo | Mingliang, Zhu | Xianyong, Zhang | Xiangming, Deng | Mingfen, Wu

Article Type: Research Article

Abstract: Identification of a consumer’s intent has a vital impact on commodity recommendation, selection of hot drainage commodity, website layout, and link settings. Most of the present studies on user intent are considered static. Specific intent is accompanied by a specific environment. Thus, intent is static when the environment does not change. However, the uncertainty of user access and purchase in e-commerce activities indicates that user intent can assume multiple forms and has multiple developmental stages. Therefore, this study draws support from the core ideas of an ant colony algorithm. Ants represent users, and pheromones represent user intent. User intents of …browsing, collection, cart shopping, and purchasing behavior are obtained from ant responses to pheromones. Pheromone is expressed as the inner product of the objective attribute of commodity and user perception ability, because user intent is the matching result of objective attributes of commodity and subjective feelings of users, and its value is the concentration of user intent pheromone. Thus, the dynamics and uncertainty of user intention development can be presented by the ant colony algorithm. In this study, data were obtained from a NetLogo simulation experiment. We used neural networks to identify and verify user intentions of browsing, collection, cart shopping, and purchasing. The experimental results showed that the accuracy of intention prediction increased from 48% to 67%, and a level of the 11–20% accuracy improvement shows good, realistic predictions. Show more

Keywords: Intent, browsing, purchasing, pheromone, ant colony optimization

DOI: 10.3233/JIFS-169318

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2687-2697, 2017

Authors: Han, Ke | Qiao, Guohui | Deng, Zhongliang | Li, Qingbo | Xing, Huashuai

Article Type: Research Article

Abstract: Nowadays FinFETs integrated into complex applications can fulfill the demand of new technology and make chips that can compute faster. Simultaneously various novel FinFETs structures come up constantly. In this brief, the impact of significant geometry parameters variations to device performance has been studied, such as fin height (H fin ), fin width (W fin ), fin spacing (S fin ), aspect ratio (W fin /H fin ), and so on. In the result, we are able to determine the optimum device parameters for Multi-fin FinFETs. Meanwhile we analyze the parasitic gate capacitance and resistance …of the multi-fin FinFETs using a conformal mapping method. To minimize the number of model fitting parameters, nondimensionalization technique is used. An effective lumped resistance model derived from distributed RC network is in use. Also, an analytical parasitic gate capacitance model is proposed, combined with parasitic capacitive couplings between source/drain fins and gates. Those analytical model can be applied for accurate circuit simulations of multi-fin FinFETs devices. The results presented in this paper can be of great help to device designers in designing 3-D devices as per their requirement. Show more

Keywords: Optimized parameters, device performance, multi-fin FinFETs, parasitic capacitance, parasitic resistance, conformal mapping

DOI: 10.3233/JIFS-169319

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2699-2709, 2017

Authors: sun, Shunyuan | sun, Li | chen, Shu

Article Type: Research Article

Abstract: For the problem of nodes without identifies and quantity in the environment of wireless sensor network, a new route model of mobile anchor node is provided. The model composed of the one heavy path and the three heavy path. The paper first is to obtain the optimal path through traversing all of the fixed virtual anchor nodes using the model of TSP, and then enters the three heavy path while anchor node sense the unknown nodes in the one heavy path. After have received the three numbers of RSSI data, the anchor node returned to one heavy path. Finally, the …location and numbers of the unknown nodes will be obtained after generalize all of the nodes using iterative methods. The experimental results show that, in the case of the unknown nodes distributed sparse, the proposed path model can reduce the redundant path and the moving time, which reached the goal of the high precision of location. Show more

Keywords: Wireless sensor network, location, nodes without identification, sparse nodes, path model

DOI: 10.3233/JIFS-169320

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2711-2718, 2017

Authors: Ji, Zuwen | Wang, Zhaocai | Wu, Tunhua | Huang, Wei

Article Type: Research Article

Abstract: The 0-1 knapsack problem is one of the classical NP-hard problems and has been one of the hot research topics in the last few decades. It offers many practical applications in optimization and applied mathematics, such as project selection, resource distribution, investment decision-making and so on. Simultaneity in previous studies DNA molecular computation usually be used to solve NP-complete continuous path search problems (for example HPP, traveling salesman problem), rarely for NP problems with discrete solutions result, such as the 0-1 knapsack problem, graph coloring problem. In this paper, we present a new algorithm for solving the 0-1 knapsack problem …with DNA molecular operations. For 0-1 knapsack problem with n distinct items, weight capacity C and total profits W, we reasonably design fixed length DNA strands representing items, take appropriate steps and get the solutions of the problem in proper length range using O(n + C + W) time. We extend the application of DNA molecular operations and simultaneity simplify the complexity of the computation. Show more

Keywords: DNA biological computing, the 0-1 knapsack problem, Adleman-Lipton model, NP-complete problem

DOI: 10.3233/JIFS-169321

Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2719-2726, 2017