@article{oai:oiu.repo.nii.ac.jp:00000093,
 author = {小谷, 直也 and 安達, 康生 and 古殿, 幸雄 and 植松, 康祐 and コタニ, ナオヤ and アダチ, ヤスオ and コドノ, ユキオ and ウエマツ, コウユウ and Kotani, Naoya and Adachi, Yasuo and Kodono, Yukio and Uematsu, Koyu},
 issue = {2},
 journal = {国際研究論叢 : 大阪国際大学紀要, OIU journal of international studies},
 month = {Jan},
 note = {P(論文), In this paper, we propose to introduce the concept of exponential fuzzy number into a simple AHP(Analytical Hierarchy Process) model. The variety of the bottom “a” in the exponential fuzzy number has a big influence on the decision making of AHP method. We will discuss the optimal bottom“ a” which maximizes the difference of weights between two alternatives. In addition to the exponential fuzzy number, we let the AHP model include the concept of α-Cut. The optimal “α” means that membership functions of two alternatives do not intersect at level α. We have carried out all simulations. As a result, it was found that the tracks of intersections between two membership functions have three patterns. It is convinced that the optimal“ α” will become effective for all AHP models with exponential fuzzy number.},
 pages = {171--191},
 title = {ファジィ指数型AHPモデルにおけるパラメータの最適化},
 volume = {24},
 year = {2011},
 yomi = {アダチ, ヤスオ and ウエマツ, コウユウ}
}