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In Multi-Criteria Decision Making (MCDM), decisions are based on several criteria that are usually conflicting and non-homogenously satisfied. Non-additive (fuzzy) measures along with the Choquet integral can model and aggregate the levels of satisfaction of these criteria by considering their relationships. However, in practice, it is difficult to identify such fuzzy measures. An automated process...
The screening of new product ideas is critically very important in new product development (NPD). Due to the incompleteness of information available and the qualitative nature of most evaluation criteria regarding NPD process, a fuzzy linguistic approach may be necessary for new-product screening, making use of linguistic assessments and the fuzzy-set-based computation. However, an inherent limitation...
Creating an applicable and precise failure prediction system is highly desirable for decision makers and regulators in the finance industry. This study develops a new Failure Prediction (FP) approach which effectively integrates a fuzzy logic-based adaptive inference system with the learning ability of a neural network to generate knowledge in the form of a fuzzy rule base. This FP approach uses a...
There are a variety of uncertainties in construction projects because of the uniqueness, complexity and the one time off characteristics of each project. Especially in the investment decision-making stage, decision-maker grasps so little information that there is a huge informational gap in this stage. The process of mining existing information in the investment decision-making stage is also the process...
The advent of data mining has contributed significantly to the field of customer management. The payment center in Maersk finds that it's difficult to charge customers for the balance due. Thus the research on the application of artificial neural networks in classification of data mining will be conducted in this paper. Since the knowledge captured by neural networks is represented at a sub-symbolic...
Aiming at providing support for fashion product development, the research analysed the Fuzzy Front End in fashion design and the processes of the pre-development in the industry. The functions of data mining and its applications in fashion product development were discussed. A case study was conducted based on the data mining of the 3-D body scan measurements. Principal component analysis, correlation...
As a branch of Group Decision-Making Method, Grade division plays an important role in many applications such as hazard assessment, quality evaluation, and performance inspection and so on. At present, the most popular grade division method is fuzzy comprehensive evaluation, which determines the decision objects' grade through analysis of evaluation vector. One problem with this approach is that it...
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...
Skyline cube is the crucial mechanism in multidimensional skyline queries and preference analysis, and has attracted much attention recently in knowledge management community. This is mainly due to the importance of skyline cube in many applications, such as data mining and visualization, user-preference queries, and multi-criteria decision making. In this paper, we propose a novel multidimensional...
An effective tracking method is proposed to solve the problem that the electro-optical tracking system in Missile Range easily loses the real target during the target separation. Before target separation, the error correcting value of the theoretical trajectory is obtained by the theoretical trajectory correcting algorithm. In the phase of target separation, the theoretical trajectory of the target...
The fuzzy signature approach is aimed at finding a hierarchically decomposed solutions by adding new elements to Zadeh's approach. It tackles the problem by splitting the problem into hierarchically organized local sub-models and by applying more complex and heterogenous descriptors, more fit for the identification of extremely complex models. However, the computational time complexity still affects...
Based on the static factor analysis of innovation for a master's degree thesis database, a innovation evaluation method is employed to build the factor set, evaluation set, weight sets and fuzzy evaluation model using analytic hierarchy process and fuzzy synthesis evaluation method. The innovation of a master's degree thesis database is evaluated, and the effectiveness of this method is demonstrated...
The following topics are dealt with:software watermarking algorithm; register allocation; fuzzy principal component analysis; gait recognition; intrusion detection; BIBD code; anticollision fingerprint; artificial neural network; information hiding algorithm; color image; logistics distribution simulation; Web mining; support vector machines; pseudo random sequence; DS-CDMA signals; fuzzy set theory;...
This thesis summarizes the factors which affect the mining investment environment through the introduction of investment environment, industry investment environment and mining investment environment and its characteristics. Also, this thesis sets up the corresponding three levels assessment system and AHP fuzzy comprehensive assessment mathematical model with an example of how it was used in environment...
Predicting plays a main role in making a good decision in a dynamic environment with real time data, such as weather predictions that normally are heterogeneous, various and vast. The use of heterogeneous of data available causes increasing uncertainty. Vast amount of data from a dynamic environment will be very uncertain and the prediction of future behavior of such a situation is very hard and if...
Based on the vague set theory of fuzzy math, this paper uses improved vague set similarity measure methods, taking into account the three-dimensional meaning of membership degree and the influence of uncertainty membership on positive and negative subjection degree to complete and comprehend fuzzy information, such as the approving degree, opposition degree and uncertainty degree and determining the...
This paper develops a supplier evaluation approach based on the analytic network process (ANP) and fuzzy synthetic evaluation under a fuzzy environment. The importance weights of various criteria are considered as linguistic variables. These linguistic ratings can be expressed in triangular fuzzy numbers by using the fuzzy extent analysis. Fuzzy synthetic evaluation is used to select a supplier alternative...
Based on the theories of Fuzzy Math and Analytic Hierarchy Process(AHP), combining the natural, social and economic characteristics of rock and soil filled dam and adequately considering different factors or indexes imposed on the safe operation of earthfill dam, the general safety assessment of earthfill dam through using multi-stratum fuzzy evaluation has been established. Furthermore, the safety...
One of the most important phases in business-to-business-based electronic construction bid is the process of bidding decision-making module whose operating optimization is considered to be the foundation of implementing the integration of B2B-based bid mode. Strategies facilitating the optimization of E-bidding are demonstrated in this paper: in order to utilize the efficiency and effectiveness both...
Efficient performance evaluation on reverse supply chain (RSC) is the basis of optimizing RSC. In this paper, an integral performance evaluation index system is designed based on BSC and RSC structure characteristics, including a set of finance, customer, internal business process, learning and developing. Then the triangular fuzzy number AHP is applied creatively to evaluate the comprehensive RSC...
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