Title of article :
An analytic hierarchy process approach with linguistic variables for selection
of an R&D strategic alliance partner
Author/Authors :
Sheu Hua Chen، نويسنده , , Pei Wen Wang b، نويسنده , , Chien-Min Chen، نويسنده , , Hong Tau Lee، نويسنده , , *، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2010
Abstract :
This study establishes a mechanism for partner selection that emphasizes the relation of criteria and
motivation. Since the motivations for establishing strategic alliances follow different enterprises’ needs,
attempting to identify universal criteria weights that enterprises should employ when seeking a proper
partner are not productive. Consequently, the weighting process for criteria must consider the intensity
of motivations for establishing the alliance. When evaluating companies with closer levels of performance,
the approach of pair-wise comparison is more suitable than the direct scoring method. Considering
the strategic level, most comparisons may be vague and linguistic variables defined as fuzzy numbers
are applied to this situation. The calculation procedure for the weighting and evaluation processes under
a vague environment is proposed and validated by using an illustrative example.
Keywords :
Fuzzy sets , AHP , MCDM , Strategic alliance
Journal title :
Computers & Industrial Engineering
Journal title :
Computers & Industrial Engineering