手法を比較

	General Morphological Analysis	La Prospective Morphological Scenarios
分野	Futures Foresight Studies	Futures Foresight Studies
系統	Process / pipeline	Process / pipeline
提唱年	1969	2006
提唱者	Fritz Zwicky; formalized by Tom Ritchey	Michel Godet (LIPSOR, Conservatoire national des arts et metiers)
種類	Combinatorial problem-structuring pipeline for multi-dimensional, non-quantifiable problems	Combinatorial scenario-construction pipeline within La Prospective
原典	Ritchey, T. (2011). Wicked Problems - Social Messes: Decision Support Modelling with Morphological Analysis. Springer.	Godet, M. (2006). Creating Futures: Scenario Planning as a Strategic Management Tool (2nd ed.). Economica. ISBN: 9782717852448
別名	GMA, Morphological Analysis, Zwicky Box, Morphological Field Analysis	Godet Morphological Scenarios, Prospective Scenario Building, French School Scenario Method, Morphologie des scenarios
関連	3	4
概要	General morphological analysis (GMA) is a method for structuring and exploring the total set of possible configurations of a complex, multi-dimensional problem that cannot be reduced to numbers. Devised by the astrophysicist Fritz Zwicky in the mid-twentieth century and formalized for policy and futures work by Tom Ritchey, it begins by laying out a problem as a 'morphological field' — a set of parameters, each with several discrete value-states — whose combinations define every conceivable solution. Because that combinatorial space is usually enormous, the method's decisive step is cross-consistency assessment: experts judge every pair of states for internal contradiction, and contradictory pairs prune the field down to a far smaller set of internally coherent configurations that can actually be examined.	Within the French school of la prospective developed by Michel Godet, morphological scenario construction is the integrating stage that turns the outputs of structural and actor analysis into a small set of coherent images of the future. Building on Fritz Zwicky's morphological method, Godet decomposes the studied system into a set of dimensions or components, attaches to each a few mutually exclusive hypotheses about how it might evolve, and treats the Cartesian product of these hypotheses as the morphological space of all conceivable futures. Because that space is combinatorially large, the method's analytical work lies in reducing it: pruning combinations that are internally incoherent, implausible, or incompatible with the strategies of key actors, until a handful of contrasted, self-consistent scenarios remain. Distinct from general morphological analysis, this is the scenario-building application that consumes the variables identified by MICMAC and the actor positions mapped by MACTOR.