Please use this identifier to cite or link to this item:
|Title:||A review of the application of fuzzy cognitive maps in the policy decision-making life cycle||Authors:||Andreou, Andreas S.
|Keywords:||Fuzzy cognitive maps;FCM modeling||Category:||Electrical Engineering - Electronic Engineering - Information Engineering||Field:||Engineering and Technology||Issue Date:||30-Jun-2014||Publisher:||IGI Global||Source:||Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling, 2014, Pages 129-148||metadata.dc.doi:||10.4018/978-1-4666-6236-0.ch008||Abstract:||Fuzzy cognitive maps are a qualitative modeling technique that uses expert knowledge to attempt to represent the interactions between problem-specific factors aiming to simulate how these interactions alter the factors and drive the current state of a problem to a different state. Recent years have seen an increase in the number of research attempts that propose the adoption of Fuzzy cognitive maps (FCMs) as a means to forecast the effect of a policy in a number of interesting domains, including land use, urban (re)development, and other social, political, or economic issues or to simulate the current state of affairs to pinpoint possible hotspots for creating a policy. This chapter presents an overview of these research attempts where fuzzy cognitive maps have been employed as a simulation tool in order to support decision makers in their assessment of the impact of policies and help them adopt the most suitable policy to implement.||URI:||http://ktisis.cut.ac.cy/handle/10488/9577||ISBN:||978-146666239-1
|Rights:||© 2014, IGI Global||Type:||Book Chapter|
|Appears in Collections:||Κεφάλαια βιβλίων/Book chapters|
Show full item record
Page view(s) 2038
checked on Nov 21, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.