• DocumentCode
    1189301
  • Title

    Soft computing and fuzzy logic

  • Author

    Zadeh, Lotfi A.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • Volume
    11
  • Issue
    6
  • fYear
    1994
  • Firstpage
    48
  • Lastpage
    56
  • Abstract
    Discusses soft computing, a collection of methodologies that aim to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness, and low solution cost. Its principal constituents are fuzzy logic, neurocomputing, and probabilistic reasoning. Soft computing is likely to play an increasingly important role in many application areas, including software engineering. The role model for soft computing is the human mind.<>
  • Keywords
    fuzzy logic; inference mechanisms; neural nets; software engineering; uncertainty handling; fuzzy logic; human mind; imprecision; low solution cost; neurocomputing; probabilistic reasoning; robustness; soft computing; software engineering; software methodologies; tractability; uncertainty; Costs; Eyes; Fuzzy logic; Humans; Pervasive computing; Probabilistic logic; Robustness; Testing; Traveling salesman problems; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Software, IEEE
  • Publisher
    ieee
  • ISSN
    0740-7459
  • Type

    jour

  • DOI
    10.1109/52.329401
  • Filename
    329401
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1189301