Masters Theses

Abstract

"Design requires a series of decisions, and one of the major challenges engineering designers face is making decisions under uncertainty. The engineering designer must choose the best design among various alternatives. This work evaluates the use of utility functions to make decisions under uncertainty with both random and interval variables. Uncertainty cannot be eliminated completely, but it can be reduced. Most current methods treat only aleatory uncertainty. Here, however, both aleatory and epistemic uncertainties are addressed in the context of engineering design. Methods such as moment matching method and worst case analysis are used to incorporate uncertainty into design problems"--Abstract, page iii.

Advisor(s)

Du, Xiaoping

Committee Member(s)

Takai, Shun
Midha, A. (Ashok)

Department(s)

Mechanical and Aerospace Engineering

Degree Name

M.S. in Mechanical Engineering

Sponsor(s)

National Science Foundation (U.S.)

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2009

Pagination

viii, 70 pages

Note about bibliography

Includes bibliographical references (leaves 87-88).

Rights

© 2009 Sashank Vasireddy, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Library of Congress Subject Headings

Decision making
Epistemics
Uncertainty -- Mathematical models

Thesis Number

T 9501

Print OCLC #

436156345

Electronic OCLC #

319424515

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