A framework for optimal rank identification of resource management systems using probabilistic approaches in analytic hierarchy process

A resource management system is likely to succeed if stakeholders get involved in analyzing and choosing from the alternatives. The present work deals with multi-criteria decision models to evaluate rain water harvesting (RWH) structures. Standard practice is to acquire the weights for criteria from...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Ravi Gorripati, Mainak Thakur, Nagesh Kolagani
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IWA Publishing 2022-06-01
Sarja:	Water Policy
Aiheet:	analytic hierarchy process (ahp) monte carlo simulation (mcs) multi-criteria decision modeling (mcda) participatory modeling (pm)
Linkit:	http://wp.iwaponline.com/content/24/6/878
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