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Supply Chain Management (SCM) is a kind of mode of management which characteristic is systematic, integrative and agile. The selection of supplier is one of the crucial steps in constructing a supply chain system. In this paper, an improved analytic hierarchy process method based on the concept of attribute significance in rough set theory is adopted in the supplier selection of SCM. Firstly, an optimization...
In the practice of evaluation of optimum FRP trawler type, DM has to face multi disciplines and lots of uncertain or fuzzy parameters. This paper proposes the use of symmetrical fuzzy collaborative optimization model, and the traditional ship type evaluation model is decomposed into three subsystems, i.e., technological, economy and decision-making computation discipline. The fuzzy cut level optimized...
Scientific flood operation is great significant for flood resources utilization in the flood season. In the present study, a fuzzy optimization model was proposed to choose the optimum flood dispatch scheme. Thereinto, objective weight was calculated base on entropy coefficient to collect the available data of all alternatives, and subjective weight was also considered by the combination with objective...
Eco-industrial chain in mining area is divided into production eco-industrial chain, surplus eco-industrial chain and energy eco-industrial chain, and the paper points out that the structure of eco-industry in mining area is made up of precursor industry, transmission industry and bottom industry. Based on above research, the four on-link modes of eco-industry in mining area have been constructed...
Based on the characteristics of many factors with uncertainties in flood control, multi-objective fuzzy optimal theory and method is introduced, and multi-objective fuzzy optimal selection model of flood control's projects of storage and detention basin is established, and the model is applied in actual flood control, the problem of multi - objective decision system affected by certain factors and...
Optimization model of nuclear emergency decision-making proposal is discussed in nuclear accident. Optimizing alternative nuclear emergency proposals is a multi-objective decision-making system. On the basis of establishing a hierarchic structure, an optimization model is developed by introducing fuzzy entropy weight and TOPSIS. The indexes' combined weights are calculated by both the entropy method...
Large-scale emergency events bring a lot of effect to people's ordinary life, so it is necessary to provide fast and effective location-allocation analysis information for emergency traffic evacuation and succor. In this issue, some related models based on location-allocation analysis are introduced into emergency traffic evacuation field. Considering the actual situation and character of emergency...
Variable fuzzy set theory (VFS) has evolved into a valuable method to solve multi-criteria decision making problems under fuzzy environments. This paper is concerned with the exposition of VFS theory and its application on coastal waterway selection. First, basic conceptions of VFS theory are described including relative difference function and relative membership function with interval values. Then...
Optimization method with triangular fuzzy numbers is introduced to describe the expected yield rate and risk loss of securities investment, and a combinational fuzzy optimization model of inclinations with exchange fee to avoid risks is presented in this paper. The experimental results on the data investigated from real-world securities markets show that our new method exploits a new strategy for...
In the process of concept design of bridges, it is necessary to select the best from feasible alternatives through comparison and filter. The criterion set, used to evaluate and select the satisfying alternative, consists of many qualitative and quantitative factors. Therefore, the selection is a problem of multi-criteria and semi-structural decision making. Different from traditional methods in semi-structural...
Based on the CAPM theory, this paper uses the historical data of CREIs (China Real Estate Index Systems) of Shanghai build an effective REITs (Real Estate Investment Trusts) investment strategy. Then using the Markowitz's mean-variance model, we calculated the optimal portfolio solutions, that is apply the classical security investment theory in the real estate investment decision-making, which have...
This paper proposes a novel approach in tackling the resource brokering problem in heterogeneous distributed computing systems. To obtain the best utilization of the systems, researchers are often focusing on improving scheduling algorithms and strategies with the knowledge of tasks and resources at the scheduling time. Unlike these approaches, we apply an intelligence decision making mechanism to...
Based on the fuzzy probability theory of the third kind of fuzzy events, a new multi-objective optimization model of fuzzy probability is developed. And the application procedure of the fuzzy probability model is illuminated in detail. In order to assess index weighted value scientifically, the analytic hierarchy process (AHP) is introduced into the fuzzy weighted values to avoid the uncertainties...
The classic theory of Rough sets is based on incomplete information systems. In practicing, decision tables are, however, usually incomplete due to the causes of data outputting or processing. That is to say, there are often default values. In order to deal with incomplete systems, Kryszkiewicz put a Rough sets model on the basis of error tolerance relations. According to this model, constructing...
In order to explore relation between evaluation results from different methods, a new model is proposed to choose the optimal scheme based on set pair analysis though comparing the affiliation degree among the given schemes in this paper. Considering the discrepancy degree of evaluation results, it comes up with a method for selecting optimum from evaluation schemes, using the quantity of ranking...
In order to maximize portfolio return of a fund which is managed by multi-managers not belonging to a managerial hierarchy in a large investment institution, we introduce a decentralized investment method by which an optimal portfolio and optimal firm utility can be obtained. The analytical result shows that the firm performance with decentralized investment is different from that with centralized...
This paper proposed a new combined evaluation model. Firstly, it chose some different single evaluation methods to evaluate the objects from different angles; secondly, it built up an evaluation model from the angle of individual object. This model is on the base of related decision-maker's preference, it takes the evaluation results of single evaluation methods as inputs, and the optimal evaluation...
A new approach for edge detection is presented in this paper using fuzzy derivative and Ant Colony Optimization (ACO) algorithm to reduce the discontinuities presented in the image filtered by Sobel operator. The number of ants are calculated and placed at the endpoints of the edges in the image filtered by Sobel Edge detector. Fuzzy Derivative Technique gives fuzzy probability factor. This probability...
This paper develops a novel fuzzy reinforcement learning (RL) based controller for multiagent partially observable Markov decision processes (POMDPs) modeled as a sequence of Bayesian games. Multiagent POMDPs have emerged as a powerful framework for modeling and optimizing multiagent sequential decision making problems under uncertainty, but finding optimal policies is computationally very challenging...
In this paper, a multi-objective heuristic-based method of design of a fuzzy controller for an inverted pendulum-cart system is investigated. A heuristic search optimization called “Imperialist Competitive Algorithm” is proposed to be used in generating and optimizing the fuzzy rules engine. The main purpose of this paper is to design a model-free nonlinear controller for inverted pendulum-cart system...
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