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In an e-commerce environment, the magnitude of products and the diversity of venders cause confusion and difficulty to choose the right product from a trustworthy vender. Although people have recognized the importance of feedbacks and reputations for the trustworthiness of individual venders and products, they remain uncertain when they have to define and enforce their own rules to use these different...
Method for ranking interval-valued intuitionistic fuzzy numbers is of key duty to multicriteria decision-making. Existing ranking methods using score function and accuracy function can not give sufficient information about alternatives and will demonstrate the situation of difficult decision or wrong decision in some cases. In this paper, a deviation function, considering the variance of the hesitancy...
The grid enables the facility of distributed resource sharing but can provide limited QoS guarantee to grid applications, e.g. in terms of execution time. In this paper, we propose a Committee-based Resource Evaluation and Selection Method (CRESM) to evaluate and select reliable resources for Users, which have higher possibility of finishing tasks in time and provide better QoS. CRESM is composed...
Vehicle shift quality evaluation is the basis of integrated control for shift quality. To overcome the shortcomings of traditional subjective evaluation method for vehicle shift quality, a new approach to shift quality subjective evaluation based on fuzzy logic and evidence theory is proposed in this paper. People's feeling is adopted as instrumentation in the proposed method. The results of subjective...
Some operational laws of fuzzy number intuitionistic fuzzy numbers are defined. Two amelioration operators are developed, such as the fuzzy number intuitionistic fuzzy weighted arithmetic average ( FIFWAA) operator, the fuzzy number intuitionistic fuzzy weighted geometric average ( FIFWGA) operator. Basing on these operators, the problems which can not be solved by score function is proposed by accuracy...
Knowledge management is very important factor for organization success in present competitive world. Because implementation of knowledge management is always influenced by various factors, identification and taxonomy of these factors have positive effects on successful implementation of knowledge management. In this paper fuzzy analytical hierarchy process (FAHP) method is exploited as a means of...
Decision making is an important aspect in a collaborative software development process which involves a complex process of conflict resolution. The priority of the participants plays a vital role in conflict resolution as the decision making process involves many participants from multiple perspectives. The priority assessment methods used in the process so far are usually static in nature, i.e.,...
Industrial machinery/assets are usually operated under different operating conditions or modes. Local empirical models can be built within specified operating condition boundaries to represent system dynamics more accurately than a global model, which is generally applicable over the entire operating regime. However, when the change of system operating regime occurs, none of local models can capture...
A classical model for substantiating decisions has as input data the matrix of the results obtained for each criterion and each decision variant. Often, the values of the results are uncertain because they are expressed by statements such as "the value is around b, certainly it is not less than a and does not exceeds c", (alesblesc), which is mathematically modelled by triangular fuzzy numbers...
The performance of fuzzy rule-based systems are examined in a car racing domain. In the car racing domain, two car agents compete for waypoints. Fuzzy rule-based systems are used to determine which waypoints the car agent should aim at. Training patterns for constructing fuzzy rule-based systems are generated through preliminary experiments against a fixed opponent car agent. We examine the effect...
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