Volume 7 Issue 4 - November 2016

  • 1. An analysis of different criteria for ranking fuzzy numbers

    Authors : Dr. Nisha Agrawal

    Pages : 180-188

    DOI : http://dx.doi.org/10.21172/1.74.024

    Keywords : Fuzzy set theory, multi-criteria decision making; multi-criteria decision analysis, Decision Makers

    Abstract :

    Fuzzy set theory has been used to model systems that are hard to define precisely. As a methodology, fuzzy set theory incorporates imprecision and subjectivity into the model formulation and solution process. Fuzzy set theory represents an attractive tool to aid research in many fields when the dynamics of the production environment limit the specification of model objectives, constraints and the precise measurement of model parameters. This paper provides a survey of the application of different criteria for ranking fuzzy numbers using fuzzy set theory. A classification scheme for fuzzy applications in research is defined. Multi-Criteria Decision Making (MCDM) methods have evolved to accommodate various types of applications. Dozens of methods have been developed, with even small variations to existing methods causing the creation of new branches of research. This paper performs a literature review of common Multi-Criteria Decision Making methods, examines the advantages and disadvantages of the identified methods, and explains how their common applications relate to their relative strengths and weaknesses. The analysis of MCDM methods performed in this paper provides a clear guide for how MCDM methods should be used in particular situations.

    Citing this Journal Article :

    Dr. Nisha Agrawal, "An analysis of different criteria for ranking fuzzy numbers ", https://www.ijltet.org/journal_details.php?id=909&j_id=3520, Volume 7 Issue 4 - November 2016, 180-188, #ijltetorg