विधियों की तुलना करें

	शैनन एन्ट्रॉपी भारण विधि	अनुपात विश्लेषण द्वारा बहु-उद्देश्यीय इष्टतमीकरण	अनुपात विश्लेषण और पूर्ण गुणात्मक रूप द्वारा बहु-उद्देश्यीय अनुकूलन
क्षेत्र	निर्णयन	निर्णयन	निर्णयन
परिवार	MCDM	MCDM	MCDM
उद्भव वर्ष	1948	2006	2010
प्रवर्तक	Shannon, C. E.	Brauers, W. K. M., Zavadskas, E. K.	Brauers, W. K. M., Zavadskas, E. K.
प्रकार	Information-theoretic objective weighting (Shannon entropy)	Ratio system + reference point (vector normalisation)	Dominance aggregation of three sub-rankings (RS + RP + FMF)
मौलिक स्रोत	Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal	Brauers, W. K. M., Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics	Brauers, W. K. M., Zavadskas, E. K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy
उपनाम	—	—	—
संबंधित	8	8	8
सारांश	ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	MOORA (Multi-Objective Optimisation by Ratio Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Brauers, W. K. M., Zavadskas, E. K. in 2006. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	MULTIMOORA (Multi-Objective Optimisation by Ratio Analysis plus Full Multiplicative Form) is a ranking multi-criteria decision-making (MCDM) method introduced by Brauers, W. K. M., Zavadskas, E. K. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.