MSOE Library Home	Login My List - 0 Help
	Home   Search   My Account

Basic Advanced Power History

Search:  Author KeywordsBarcodeBib No.Call Number Keyword Search (Enter part of a call number -- use wildcards)General Keyword SearchKeyword Search of Contents NotesKeyword Search of Credits Notes (Enter word or words)Keyword Search of FormatKeyword Search of Item DescriptionKeyword Search of Publisher's NameName Keyword SearchPublication Date Keyword SearchSearch Part of an ISBN NumberSearch Part of an ISSN NumberSeries Title KeywordsSubject KeywordsTitle Keywords       Refine Search     > You're searching: Walter Schroeder Library, Milwaukee School of Engineering

Item Information   Holdings       More by this author     Widjaja, Andi.     Subjects     Fuzzy logic     College applications     Universities and colleges -- Admissions     MSEM Thesis.     Browse Catalog     by author:      Widjaja, Andi.       by title:      The justification & ...         MARC Display

The justification & implementation of a rule-based fuzzy expert model to improve college admission process / by Andi Widjaja. by Widjaja, Andi. Subjects Fuzzy logic   College applications   Universities and colleges -- Admissions   MSEM Thesis. Description:  xvi, 266 leaves : ill. ; 29 cm. Contents:  Advisor: Dr. Henry Welch. Committee members: Dr. Bruce Thompson, Leonard Vanden Boom. Sect. A The justification of a rule-based fuzzy expert model -- Sect. B The implementation of a rule-based fuzzy expert admission model to improve college admission process -- Appendix A) Guide to mathematical symbols - B) Classical set theory - C) Classical logic theory - D) Tools to develop a fuzzy system - E) Fuzzy set theory - F) Fuzzy logic theory - G) Statistical interpolation of high school GPA and SAT composite scores - H) Survey questions - I) Survey analysis - J) Choosing admission criteria and membership functions - K) Concordance between ACT composite score & SAT-I recentered total score - L) Fuzzy membership functions and lookup table - M) Fine tuning the simple rule-base fuzzy expert admission model - N) Scatter graph analysis - O) Current fuzzy logic research and developments - P) Current commercial fuzzy logic applications - Q) Current MSOE admission formula - R) Output of the rule-based fuzzy expert admission model. The goal of this project is to apply a rule-based fuzzy expert model to the admission process using data collected from the Milwaukee School of Engineering (MSOE), a prominent university in Milwaukee, Wisconsin. The result of this project should show that the rule-based fuzzy expert admission model can improve the prediction accuracy of the current MSOE admission model. MSOE admission counselors are used as the experts to develop the fuzzy model. Fuzzy logic is used to capture the flexibility of the admission decision process. A rule-based fuzzy expert admission model can be created by generalizing the elements of a rule-based fuzzy expert engineering model into the admission model. The challenge is to know how to put the rule-based fuzzy expert engineering procedures into effect when admission processes are dynamic and applicant information contains discontinuities and uncertainties and is often incomplete. This thesis presents the results of implementing a rule-based fuzzy expert admission model to a group of applicant records. The results are compared favorable to the current model and show a more consistent and equitable classifications of applicants.   Copy/Holding information Location Collection Call No. Status   Walter Schroeder Library Master's Theses AC805 .W53 1997 Available Add Copy to MyList Format: HTMLPlain textDelimited Subject:   Email to:

Horizon Information Portal 3.25_9382

© 2001-2013 SirsiDynix All rights reserved.