Fuzzy Math to Determine Which States Are More Likely to Consume Meat
No Thumbnail Available
Authors
Ladley, Melanie
Issue Date
2014-05-16
Type
Journal Article
Language
Keywords
Alternative Title
Abstract
For this research project I used fuzzy math to determine which of the 5o United States would be most likely to consume meat based on several factors. Experts ranked the factors 1 to 5, 1 being least likely to consume meat and 5 being the most likely. Experts who ranked the factors were Dr. Laura Heinemann of the Creighton University Anthropology Department, and John Mordeson of Creighton University's Math Department. The factors that were ranked were Ethniticity, Political Views, Average Income, Cost of Living, Location, Population, and Religious Views. Ethnicity and Religious Views were divided further into subfactors. The subfactors for ethnicity were White, Black, American Indian and Alaska Native, Asian, Native Hawaiian and Pacific Islander, other, two or more races, and Hispanic. The subfactors of religion were Evangelical Protestant, Mainline Protestant, Catholic, Historically Black Protestant, other, and unaffiliated. I used these rankings to form Analytical Hierarchy Process (AHP), Guiasu, Yen, Dempster Shafer, and Set Value equations and tables. We plugged in the data collected to form a ranking of each of the states, 1 being the most likely to consume meat and 50 being the least likely. California was ranked the most likely to consume meat while New Mexico was ranked least likely (according to AHP, Guiasu and Yen tables, not Set Value or Dempster Shafer). (Key Words: Analytical Hierarchy Process; Guiasu Method; Yen Method; Dempster Shafer, and Set Value Statistical Method.)
Description
Citation
Publisher
Creighton University
License
This material is copyrighted