手法を比較

	線形最大正規化	加法比率評価	複合比例評価法	加重積モデル
分野	意思決定	意思決定	意思決定	意思決定
系統	MCDM	MCDM	MCDM	MCDM
提唱年	1967	2010	1996	1969
提唱者	Fishburn, P. C.	Zavadskas, E. K., Turskis, Z.	Zavadskas, E. K., Kaklauskas, A.	Miller, D. W., Starr, M. K.
種類	Normalization (linear-max, ratio-based)	Additive utility ratio (optimal reference row)	Proportional assessment (benefit/cost split)	Multiplicative utility
原典	Fishburn, P. C. (1967). Additive Utilities with Incomplete Product Sets: Application to Priorities and Assignments. Operations Research	Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy	Zavadskas, E. K., Kaklauskas, A. (1996). Determination of an Efficient Contractor by Using the New Method of Multicriteria Assessment. International Symposium for The Organization and Management of Construction. Shaping Theory and Practice. Vol. 2: Managing the Construction Project and Managing Risk. CIB W 65	Miller, D. W., Starr, M. K. (1969). Executive Decisions and Operations Research. Prentice-Hall
別名	—	—	—	—
関連	4	8	8	8
概要	LINEAR-MAX-NORMALIZATION (Linear Max Normalization — division by column maximum (benefit) or column minimum over value (cost)) is a normalization multi-criteria decision-making (MCDM) method introduced by Fishburn, P. C. in 1967. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	ARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	COPRAS (Complex Proportional Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Kaklauskas, A. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	WPM (Weighted Product Model) is a ranking multi-criteria decision-making (MCDM) method introduced by Miller, D. W., Starr, M. K. in 1969. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.