The purpose of the paper was to
examine an industry that wants to pursue sustainable development planning. This
situation can be regarded as a fuzzy MCDM program. The paper proposes an
alternative approach, to cope with evaluation of fuzzy MCDM problems,
particularly where there is dependence among considered criteria. The authors
chose the sustainable development strategy for fishing in Taiwan to illustrate
the fuzzy Analytic Hierarchy Process (AHP) for determining the weights of
criteria.
Technique:
Hierarchy frame for sustainable development planning |
In this paper the authors employ
triangular fuzzy numbers to represent the decision makers’ subjective
preferences on the considered criteria, as well as for the criteria
measurements to evaluate a sustainable development planning strategy for
industry.
The overall MCDM approach the
authors used to evaluate a sustainable development planning:
1.
Establish a hierarchy frame for sustainable development
planning where the preliminary classification consists of 3 aspects involving
business activities, government policy and socioeconomic effects
2.
Employ factor analysis to extract 4 independent common
factors from the criteria in business activities, government policy and socioeconomic effects
3.
Brought in 15 evaluators, including those from
government sector who are in charge of sustainable development, academic
experts, executives of aquatic products processors as well as members of
environmental interest groups
4.
Integrate their subjective judgments to construct the
evaluation frame using AHP composed of the 4 common factors and then derive the
relative weights and non-fuzzy BNP values corresponding to each criterion
5.
The synthetic utility value corresponding to each
sustainable development strategy is aggregated by the fuzzy weights with fuzzy
performance values and the best investment strategies can then be decided
The authors use one overarching
goal of sustainable development industry to examine aspects that impact the
company to then apply criteria to decide which strategy is best.
Strengths:
1.
APH method for determining weights of criteria can
reduce uncertainty when fuzzy MCDM
2.
MCDM can be applied to situations that have multiple
and mutually conflicting objectives
Challenges:
1.
The anticipated performance values of unquantifiable
criteria cannot be specified with qualitative numerical data in qualitative
evaluation
Conclusion:
Using this method, the authors demonstrate that the
non-additive fuzzy integral technique can overcome the criteria non-independent
case. By employing an additive aggregating method to derive the synthetic
utility of participating companies are able to evaluate all available
alternatives and determine preferable strategies which conform to sustainable
development.
From: Omega (The
International Journal o f Management Science) (2005). Retrieved from http://mcdm.ntcu.edu.tw/tzeng/publication/Evaluating%20sustainable%20fishing%20development%20strategies%20using%20a%20fuzzy%20MCDM%20approach.pdf
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