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Firstly, based on the T fuzzy measure and (T) fuzzy integral of one-dimensional function, this paper defines multi-dimensional simple function using generalized T-norm and S - norm and obtains a theorem on the representation form of a common multi-dimensional measurable function. Then it introduces two operational symbols T and S, presents the definitions of T fuzzy integrals for the multi-dimensional...
The aim of this paper is to extend the VIKOR method to an intuitionistic fuzzy compromise approach to multi-attribute decision making (MADM) in intuitionistic fuzzy (IF) sets. The VIKOR method presumes crisp data while fuzziness is inherent in decision information and decision making process. In this paper, an intuitionistic fuzzy Lp - metric is developed to extend the VIKOR method to the intuitionistic...
To eliminate flood disaster, which happened more and more frequently in China, a fuzzy-inference based neural network model is developed. This model can solve the problems of systematic difficulty, inefficiency, shortcomings of unable to self-study and inadequate in traditional method. Firstly, the detailed steps of forming the new model were given. Secondly, a case study was used to demonstrate how...
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...
In this paper, we proposed eight sorts of new cut sets of lattice interval value Fuzzy sets and a kind of new operation between lattice interval and cut sets of lattice interval value Fuzzy set. Then, we established two decomposition theorems and two representation theorems of lattice interval value Fuzzy sets.
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...
Geological environment is very complex, the factors such as terrain and physiognomy, hydrological factor, geological factors, and human being engineering activity are selected to appraise geology hazard risk by the method of fuzzy synthesis judgment and Analytical Hierarchy Process (AHP). The result is that the research region is risk according with the fact. And the conclusion can provide some reference...
To improve the intelligibility and efficiency of knowledge expression for the land evaluation, a land evaluation method combining simplified fuzzy classification association rules with fuzzy decision is proposed in this paper. To reduce the complexity of the land evaluation models and improve the efficiency and intelligibility of fuzzy classification association rules further, an algorithm to eliminate...
A multi-attribute comprehensive evaluation with vagueness and imprecision can be made flexibly by intuitionistic fuzzy set (IFS). In this paper, the general operator in intuitionistic fuzzy comprehensive evaluation (IFCE) is presented in accordance with the theory that vague set (VS) is equivalent to IFS and fuzzy set (FS) is a special case of IFS. The general operator is more reasonable and easier...
This paper presents a novel method for multiple attribute decision making problems, in which interval numbers are used to assess the weights of attributes, and fuzzy linguistic variables are utilized to evaluate the suitability of alternatives versus various attributes. In the face of interval attribute weights, a definition of effective attribute weights and its representation are developed. Based...
In this paper, how to calculate the importance weights is explored. Importance weights of parameters for fuzzy soft sets with unequal importance weights differ in actual practice. The importance weights can be calculated through the disparity of the results estimations. An example is used to illustrate what have been studied above.
The data in traditional DEA model are limited to crisp inputs and outputs, which cannot be precisely obtained in many production processes or social activities. At the same time, the traditional DEA model can not evaluate by using some given reference units. This paper attempts to extend the traditional DEA model and establishes a fuzzy DEA model based on sample data evaluation. To establish this...
Setting up a reasonable ecological value evaluation system for residential quarters is important to improve people's living level. An evaluating index system with contains 2 factors, 12 sub-factors, and 50 elements is established. Then we use FAHP in determining the weights of the factors and sub-factors, which can reflect the human thinking style. At last, we establish a multi-grade fuzzy synthetical...
In the human resources management system, to evaluate the capabilities of the enterprise leaders is a key and pressing step in the selection or the assessment of business management capabilities in the competitive world, while rough set method is suitable to meet this requirement. In order to provide a scientific and effective reference for discriminating the screening quality of the business leaders,...
Ecological Security Assessment is a new field in Sustainable Development study. In order to curb the deterioration of the ecological environment, we should conduct timely researches on the comprehensive evaluation of ecological security, which is recognized as the most powerful method to protect the regional economy effectively. Based on the sequence data of 1987, 2000 and 2005, the study takes Hebei...
Base on fuzzy decision algorithm, a multi-agents cooperation strategy for the soccer robot is presented to overcome the difficulty in establishing a precise model for the decision-making subsystem of robot in the case, when robot player is in dynamic environment, and the applied condition and computing course are given. The battle formation and the role of each robot can be changed dynamically depending...
Selecting an appropriate conductor joint method is essential by considered conducting wire safety performance. The Analytical Hierarchy Process (AHP) method is usually used for solving multi-criteria decision-making problems. However, the traditional AHP method is incapable of handling the uncertainty and vagueness involving the mapping of one's preference to an exact number or ratio. In this paper,...
The comprehensive benefit evaluation system of floodwater utilization is a multi-objective multi-stage system integrating economic, ecological and social benefits as well as including quantitative and qualitative indexes. This paper deals with the application of variable fuzzy recognition model to benefit evaluations of floodwater utilization in Baicheng region, Jilin province. The result shows that...
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...
As a sample for selection of cooling and heating sources in some air-conditioning systems, optimal selection of four preparative schemes is made by applying Fuzzy Multi-Criteria decision-making, which provides a reasonable evaluating model for scheme selection of cooling and heating sources.
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