• DocumentCode
    518956
  • Title

    A decision-making method based on interval-valued fuzzy sets for cloud service evaluation

  • Author

    Chen, Chen-Tung ; Lin, Kuan-Hung

  • Author_Institution
    Dept. of Inf. Manage., Nat. United Univ., Miaoli, Taiwan
  • fYear
    2010
  • fDate
    11-13 May 2010
  • Firstpage
    559
  • Lastpage
    564
  • Abstract
    In the real world, many decision-making problems contain uncertain data in the decision process. Although fuzzy set theory can deal with the uncertain problem, the decision maker always cannot express his opinion exactly in the decision-making process. Because the subjective judgments of decision makers are always vagueness, linguistic variables and interval-valued fuzzy sets are suitable used to represent the fuzziness of membership value of their opinions. In this paper, the fuzzy AHP method is applied to compute the fuzzy weights of each criterion based on the interval-valued fuzzy sets. The 2-tuple linguistic variables are used to express the performance rating of all alternatives. and then, determine the ranking order of all alternatives in accordance with preference matrix. This proposed method can provide decision maker more flexibility to express his subjective judgment with respect to each alternative. Finally, an example is presented to show the procedure of the proposed method at the end of the paper.
  • Keywords
    decision making; fuzzy set theory; matrix algebra; 2-tuple linguistic variables; cloud service evaluation; decision-making method; fuzzy AHP method; interval-valued fuzzy sets; preference matrix; uncertain data; Cloud computing; Decision making; Displays; Fuzzy set theory; Fuzzy sets; In vitro fertilization; Information management; Information processing; Performance loss; Fuzzy AHP; Interval-valued fuzzy sert; cloud computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Trends in Information Science and Service Science (NISS), 2010 4th International Conference on
  • Conference_Location
    Gyeongju
  • Print_ISBN
    978-1-4244-6982-6
  • Electronic_ISBN
    978-89-88678-17-6
  • Type

    conf

  • Filename
    5488553