Abstract
Show accretion on transmission lines in heavy snowfall areas may cause critical accidents such as tower collapses, sleet jumps, etc.. To assist power system operators in making plan of deicing countermeasures against these accidents, a prototype expert system had been developed. The system forecasts snow accretion on transmission lines and lists all the feasible and effective deicing countermeasures. This paper presents a technique to choose the optimal deicing countermeasure, which will help power system operators to make a decision. This optimization is done by fuzzy multiattribute decisionmaking approach which is expected as an effective tool in the presence of uncertain evaluation data. The proposed algorithm generates evaluation functions for all alternatives in terms of fuzzy sets, compares them to choose the alternative with the least evaluation function, and presents the decision result in the form of a statement describing the strength of preference in natural language. Fast calculation algorithms for extended algebraic operation of fuzzy numbers is presented too.
