• DocumentCode
    2128242
  • Title

    Multiobjective Fuzzy Decision-Making and Its Teaching Comprehensive Evaluation Application

  • Author

    Fang, Jiandong

  • Author_Institution
    Coll. of Inf. Eng., Inner Mongolia Univ. of Technol., Inner Mongolia
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    850
  • Lastpage
    854
  • Abstract
    For many targets, multidimensional quantification, fuzziness of the complicated system decision characteristic information with not complete in the complex system of teaching, the logic model using fuzzy mathematics theories, constructing a kind of second class misty decision model and an algorithm is given that can carry out a teacher the teaching ability a comprehensive evaluation, solving calculate way under the condition that have already known the target information. As is shown in a whole practice example, second class fuzzy decision model and algorithm the fuzzy logic algorithm can be effectively used to integration analysis and discursion with a teacherpsilas teaching ability effectively at many class, many factor, multidimensional condition of the comprehensive analysis reason logically, having certain intelligence to turn a main technique characteristics of degree, in brief practical etc., expressing a certain decision credibility, which is character in the higher degree of intelligent, simple and practical.
  • Keywords
    decision making; education; fuzzy set theory; optimisation; teaching; comprehensive evaluation; decision credibility; fuzzy decision model; fuzzy logic algorithm; multidimensional quantification; multiobjective fuzzy decision-making; teaching ability; Algorithm design and analysis; Decision making; Education; Educational institutions; Fuzzy logic; Fuzzy systems; Knowledge acquisition; Mathematical model; Mathematics; Multidimensional systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3488-6
  • Type

    conf

  • DOI
    10.1109/KAM.2008.182
  • Filename
    4732950