ESTIMATION METHODS BY STOCHASTIC MODEL IN BINARY AND TERNARY AHP

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概要

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• New stochastic models for binary and ternary AHP are proposed, and further minimax and least square estimation methods (with parameter θ) for these models are proposed. The solutions of both methods are proved to be mathematically equivalent although the principles are different. Another method based on the well-known likelihood function is applied to our model with the parameter, which can expand the application limit of the conventional likelihood method. Various examples are solved by these proposed methods and we have successful results for all.

• 社団法人日本オペレーションズ・リサーチ学会の論文

著者

• Takahashi Iwaro

  Tsukuba Univ.

• Nishizawa Kazutomo

  Nihon University

• Nishizawa Kazutomo

  Nihon Univ. Chiba Jpn

関連論文

• ESTIMATION METHODS BY STOCHASTIC MODEL IN BINARY AND TERNARY AHP
• WEIGHTED AND LOGARITHMIC LEAST SQUARE METHODS FOR MUTUAL EVALUATION NETWORK SYSTEM INCLUDING AHP AND ANP
• A NEW APPROACH OF REVISING UNSTABLE DATA IN ANP BY BAYES THEOREM

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