Type-one fuzzy logic for quantitatively defining imprecise linguistic terms in politics and public policy

Ashu M.G. Solo, Madan M. Gupta, Noriyasu Homma, Zeng Guang Hou

研究成果: Chapter

抄録

During a presidential forum in the 2008 U.S. presidential campaign, the moderator, Pastor Rick Warren, wanted Senator John McCain and then-Senator Barack Obama to define “rich” with a specific number. Warren wanted to know at what specific income level a person goes from being not rich to rich. The problem with this question is that there is no specific income at which a person makes the leap from being not rich to being rich. This is because “rich” is a fuzzy set, not a crisp set, with different incomes having different degrees of membership in the “rich” fuzzy set. Similarly, “middle class” and “poor” are fuzzy sets. Fuzzy logic is needed to properly ask and answer Warren’s question about quantitatively defining “rich.” Similarly, fuzzy logic is needed to properly ask and answer queries about quantitatively defining imprecise linguistic terms in politics and public policy like “middle class,” “poor,” “low inflation,” “medium inflation,” and “high inflation.” Imprecise terms like these in natural languages should be considered to have “qualitative definitions,” “quantitative definitions,” “crisp quantitative definitions,” and “fuzzy quantitative definitions.” This chapter provides much more information on the preceding.

本文言語English
ホスト出版物のタイトルResearch Methods
ホスト出版物のサブタイトルConcepts, Methodologies, Tools, and Applications
出版社IGI Global
ページ67-83
ページ数17
ISBN(電子版)9781466674585
ISBN(印刷版)9781466674578
DOI
出版ステータスPublished - 2015 1 1

ASJC Scopus subject areas

  • Social Sciences(all)
  • Engineering(all)

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