FUZZY WEIGHTED AVERAGE - A MAX-MIN PAIRED ELIMINATION METHOD

By the use of max-min paired elimination, an efficient method for obta ining the fuzzy weighted average (FWA) was developed. This approach is much more efficient than either the approach developed by Dong and Wo ng [1] or the improved approach developed by Lieu and Wang [2]. The co mputational requirements for the method of Dong and Wong are 2(2n) and the largest computational requirements for the improved method of Lie u and Wang are 2+n(n+1). The computational requirements for the propos ed approach are proportional to the problem size n and the total compu tational requirements are 2(n-1). The same example used by Dong and Wo ng is used to illustrate the approach. In addition, a more complicated problem is also solved.