This paper proposes a fuzzy multi-criteria decision making
mothod for strategy selection in the area of management under
fuzzy environment. An algorithm for strategy selection is
proposed. The algorithm is based on the concepts of fuzzy set
theory and hierarchical structure analysis. The concepts of
hierarchical structure analysis with two distinct levels are
used in this paper. The first level is to evaluate fuzzy
importance of the decision criteria and the second level is to
assign ratings to various strategies under each evaluation
criterion. The triangular fuzzy number and the linguistic
variable are the two main concepts used in this paper to assess
the preference ratings of linguistic variables, ''''importance''''
and ''''appropriateness''''. The decision makers can either employ
an assumed rating set or give his own rating by using the
triangular fuzzy number to show the individual perception of
the linguistic variables. The reason of using triangular
fuzzy number is that it is intuitively easy to be used by the
decision makers. We also propose a revised method for ranking
fuzzy numbers with index of optimism which was proposed by Kim
and Park. Our revised method is based on the stage of data
input for computing the total index of optimism in multi-person
decision making problem, instead of giving the index of
optimism independently by a decision maker on the stage of
information output. This new look at the index of optimism
reflects the pooled risk- bearing attitude of multi-judge.
The index of optimism is determined by the evaluation data
conveyed by the decision makers at the beginning of the data
input stage, i.e. the risk- bearing attitudes of decision
makers are reflected in the data input stage. Finally, we use
the revised method to rank the final scores of alternatives for
choosing the best technology transfer strategy in the area of
biotechnology management.