K e y w o r d s F u z z y convexity; Fuzzy criterion sets, Pareto-optimal decision, Multiple objective optimization. 1. I N T R O D U C T I O N Since most of practical decision problems are fuzzy and approximate, fuzzy decision making becomes one of the most impor tan t practical approaches. However, the result ing problems are frequently complicated and difficult to solve. One effective way to...

Analyses the current road pavement maintenance technical specification, put forward a new evaluation method for maintenance and overlay of old asphalt pavement. Considering the uncertainty and complexity in the process of performance evaluation, and based on the entropy and the Kohonen network theory, the performance evaluation system is established in Kohonen network of fuzzy entropy method, c...

Association rule mainly focuses on large transactional databases. In association rule mining all items are considered with equal weightage. But it is not suitable for all datasets. The weight should be considered based on the importance of the item. In our previous work HITS algorithm (Hyperlink Induced Topic Search) is used to find the weight of an item w-support is calculated for generating f...

K e y w o r d s T o p o l o g y , C-scattered and scattered topological spaces. ('ompactness, Fuzzy perfect maps, S-paracompactness, S*-paracompactness. Fuzzy paracompactness. *-Fuzzy paracompactness. 1. I N T R O D U C T I O N The concept of C-sca t te red topological space has been defined by Telg{,rsky [1]. A space X is said to be C-sca t te red if each of its nonempty closed subspaces conta...

Traditional statistical data processing techniques (such as Least Squares) assume that we know the probability distributions of measurement errors. Often, we do not have full information about these distributions. In some cases, all we know is the bound of the measurement error; in such cases, we can use known interval data processing techniques. Sometimes, this bound is fuzzy; in such cases, w...

A nalog circuit implementations of fuzzy logic are characterized by performing logical connectives of analog signals. They can be considered as generalization of digital circuits to a range of logical values, thus forming a special class of analog circuits. The idea of this work is to exploit this relationship for testing. For fault modeling the behavior of faulty fuzzy gates is investigated th...

This paper presents the design and simulation of improved circuits of Fuzzifier and capacitance to voltage (C2V) converter. The Fuzzifier circuit is designed based on analog advantages such as low die area, high accuracy, and simplicity which are added to the fuzzy system advantages. For implementing this idea, a programmable Membership Function Generator (MFG) including differential pair circu...

A variety of evolutionary algorithms, operating according to Darwinian concepts, have been proposed to approximately solve problems of c o w n engineering applications. Increasingly common applications involve automatic learning of nonlinear mappings that govern the behavior of control systems. In m y cases where robot control is of primary concern, the systems used to demonstrate the effective...