An efficient algorithm for fuzzy weighted average

In multisensor intelligent systems, the information fusion plays an important role. Several algorithms have been proposed for the purpose of aggregating imprecise sensory information represented by fuzzy numbers. This paper proposes an efficient algorithm to compute fuzzy weighted average, which turned out to be superior to the previous works by reducing the number of comparisons and arithmetic operations to O(n log n).