the importance as well as the difficulty of the problem of ranking fuzzy numbers is pointed out. here we consider approaches to the ranking of fuzzy numbers based upon the idea of associating with a fuzzy number a scalar value, its signal/noise ratios, where the signal and the noise are defined as the middle-point and the spread of each $gamma$-cut of a fuzzy number, respectively. we use the va...

the importance as well as the diculty of the problem of ranking fuzzy numbers is pointed out. here we consider approaches to the ranking of fuzzy numbers based upon the idea of associating with a fuzzy number a scalar value, its signal/noise ratios, where the signal and the noise are de ned as the middle-point and the spread of each a-cut of a fuzzy number, respectively. we use the value of a ...

Extracting new information is one of the knowledge management ability yet difficult in environment which contains fuzzy information. For example, measuring a product’s quality is an important task which normally requires visual inspection basis, and this grading is subject to expert knowledge and interpretation. Apparently, fuzzy information is inherently included in this evaluation and an appr...

A method of cloud security risk assessment based on fuzzy entropy weight is proposed. In this framework, seven aspects of cloud security risk assessment indicators are set up, include the virtualization, data security, infrastructure, applications, soft environment, cloud services and security management. The simulation results show that the fuzzy entropy weight method is effective for the clou...

Min-implication fuzzy relation equations based on Booleantype implications can also be viewed as a way of implementing fuzzy associative memories with perfect recall. In this paper, fuzzy associative memories with perfect recall are constructed, and new on-line learning algorithms adapting the weights of its interconnections are incorporated into this neural network when the solution set of the...

Along with the advantages that the fuzzy control system has brought to improvements on the active queue management mechanism, there still exists some shortcomings such as the design and optimization of the fuzzy system require some experiences in controlling subjects. On the other hand, for the fuzzy controller to work well, it should have the parameters (the number of fuzzy sets in each langua...

This paper presents a new method for evaluating weapon systems using fuzzy set theory. The proposed method is more flexible than the one presented in 1111 due to the fact that it allows each item of criteria to have a different weight represented by a triangular fuzzy number. Furthermore, because the proposed method does not need to perform complicated entropy weight calculations as described i...

In 2001 we introduced the notions of possibilistic mean value and variance of fuzzy numbers. In this paper we list some works that use these notions. We shall mention some application areas as well. 1 Possibilistic mean value, variance, covariance and correlation A fuzzy number A is a fuzzy set R with a normal, fuzzy convex and continuous membership function of bounded support. The family of fu...

Because of the non-uniform cluster-head election in the classical clustering algorithm, some nodes maybe exhaust energy prematurely so that it is not fit for large-scale wireless sensor networks(WSNs). In this paper, a distributed clustering routing algorithm based on fuzzy weight attribute degree(FWAD) is proposed. The direct methodology of fuzzy engineering theory is adopted to assign relevan...

By utilizing the ideas of fuzzy-weighted entropy and directed divergence appropriately selecting weights, several new measures fuzzy cross-entropy have been generated. Concurrently, some weighted suggested based on