Sign up & Download
Sign in

On fuzzy multiattribute decision-making models and methods with incomplete preference information

by Ying Ming Wang
Fuzzy Sets and Systems ()

Abstract

In the paper by Li (Fuzzy Sets and Systems 106 (1999) 113), a minimum average weighted deviation method was investigated to determine the weights of attributes using incomplete preference information. It is shown in this paper that the method is flawed and can only be meaningful if it is revised. Two general ways are presented to revise it and are justified by using Lagrange multiplier method and Hessian matrix. Four specific revised models and approaches are investigated and examined through a numerical example. Different membership functions are suggested and utilized to normalize decision matrix so that a credible ranking order can be achieved. ?? 2004 Elsevier B.V. All rights reserved.

Cite this document (BETA)

Readership Statistics

7 Readers on Mendeley
by Discipline
 
 
 
by Academic Status
 
43% Assistant Professor
 
29% Student (Master)
 
14% Professor
by Country
 
29% Brazil
 
14% China
 
14% Turkey

Sign up today - FREE

Mendeley saves you time finding and organizing research. Learn more

  • All your research in one place
  • Add and import papers easily
  • Access it anywhere, anytime

Start using Mendeley in seconds!

Already have an account? Sign in