Refitting Sites Selection of Ocean Trawler Based on Fuzzy Matter-Element Model and Information Entropy Theory

Abstract

Refitting sites selection of ocean trawler in wartime, is affected by a variety of technical factors and other factors such as organization, planning, management, and so on. The index system is given by detailed analysis of the influence factors. A fuzzy matter-element model is built up in view of the fuzziness and incompatibility of the indexes, combining quantitative analysis with qualitative analysis, with quantifying the qualitative indexes by linguistic variables and fuzzy numbers. The information entropy theory is used to calculate the value of index weights, to reduce the subjective randomness. The multi-objective selection problem is transformed into the single-object decision by Euclid approach degree. The example shows that the method is very practical and the result is objective.