This paper investigates the multiple attribute decision making problem with preference information on alternatives, in which multiple decision makers give their preference information in three forms, i.e., preference orderings, utility values and fuzzy preference relation. A new approach is presented to make use of both the decision makers' social fuzzy preference relation on alternatives and d...

Title of Dissertation: OPTIMAL BUDGET-CONSTRAINED SAMPLE ALLOCATION FOR SELECTION DECISIONS WITH MULTIPLE UNCERTAIN ATTRIBUTES Dennis D. Leber, Doctor of Philosophy, 2016 Dissertation directed by: Professor Jeffrey W. Herrmann Department of Mechanical Engineering A decision-maker, when faced with a limited and fixed budget to collect data in support of a multiple attribute selection decision, m...

Because of the complexity of limitation and realistic decision of decision knowledge, multiple attribute decision making problems with the attribute value often need to characterize fuzzy number. The triangular fuzzy number to describe this kind of ambiguity is very effective and for the project investment selection problem with triangular fuzzy numbers, this study puts forward a new multiple a...