Title page for etd-0714100-010449


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URN etd-0714100-010449
Author Guo-Ding Ma
Author's Email Address No Public.
Statistics This thesis had been viewed 5661 times. Download 6111 times.
Department Marine Environment and Engineering
Year 1999
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title The Application of Fuzzy Set Theory for Cage Aquaculture Site Selection
Date of Defense 2000-07-11
Page Count 172
Keyword
  • Decision Support System
  • Cage Aquaculture
  • Fuzzy Set Theory
  • Site Selection
  • AHP
  • Abstract  The research focuses on the application of site
    selection for cage aquaculture in Taiwan by
    developing the site evaluation DSS (Decision
    Support System). The modeling aspect of the
    system belongs to the domain of multi-criteria
    decision theories, which AHP (Analytic Hierarchy
    Process) and Fuzzy Set theory were used. Two case
    studies based on real world and hypothetical data
    were conducted to verify the integrity of the
    system.
     According to the literature review and the
    interview with several domain experts, various
    impact factors were identified first. The
    corresponding weights of each factor were then
    decided by analyzing the questionnaires designed
    based on the concept of AHP. The following work
    was to evaluate those impact factors based on the
    experience of domain experts using some
    appropriate approaches. To represent the domain
    knowledge, it is appropriate to use rule based
    inference system. Besides, fuzzy set theory was
    chosen to describe the antecedent and consequence
    of the rule base due to the considerations of
    uncertainty from human experts and ocean field
    data. Several related mythologies derived from
    the fuzzy set theory were used, such as the
    operation of fuzzy composition, determination of
    suitable membership function, fuzzy relationship
    matrix, fuzzy inference, defuzzification, and
    fuzzy pattern classification.
     All impact factors were categorized into three
    different types of membership functions that were
    designed specifically for the site selection of
    cage aquaculture. The consequence in the rule
    base, which is the site suitability, was also
    represented as the unique membership function. To
    calculate the fuzzy relationship matrix, the
    current research found that the operation of
    “algebraic product and bounder sum” would
    produce better results than the commonly used
    “max-min” operation. Each impact factor would
    have the associated fuzzy relationship matrix
    derived from the rule base. The site suitability
    in term of a fuzzy set can then be inferred by
    the fuzzy composition of current situation of the
    factor and the relationship matrix. By
    multiplying the AHP weight and the fuzzy
    suitability, the final site suitability index,
    taking all the impact factors into consideration,
    can therefore be derived.
     The real data in Feng-Gang, located in the
    southern Taiwan, were collected and evaluated
    using the site selection DSS. The results show
    Feng-Gang is suitable for the development of cage
    aquaculture, which is validated by the current
    prosperous business locally in cage aquaculture.
    As for the evaluation of multiple sites, 18
    hypothetical sites near shore around Taiwan were
    chosen to calculate the corresponding suitability
    indexes, which were then be partitioned into
    several groups using the fuzzy pattern
    classification. Based on the results, the sites
    that were classified in the same group have
    similar cultivation conditions, which also proves
    the applicability of the site evaluation DSS.
    Advisory Committee
  • Te-Min Chang - chair
  • Jin-Yuan Wang - co-chair
  • Chai-Cheng Huang - co-chair
  • Yang-Chi Chang - advisor
  • Shiahn-Wern Shyue - advisor
  • Files
  • Thesis.pdf
  • indicate access worldwide
    Date of Submission 2000-07-14

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