Using Fuzzy Cognitive Maps for Supporting Water Resources Management and Planning

被引：0
|
作者：
Schramm, Fernando [1 ]
Schramm, Vanessa B. [1 ]
Venancio Junior, Giovanni Alves [1 ]
机构：
[1] Univ Fed Campina Grande, Lab DeSiDeS, Campina Grande, Paraiba, Brazil
来源：
2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2020年
关键词：
Group decision; Fuzzy Cognitive Maps; Watershed Committee;
D O I：
10.1109/smc42975.2020.9283331
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we propose the use of Fuzzy Cognitive Maps (FCM) for supporting water resources management and planning. The approach was applied to support a watershed committee to structure a discussion about the degradation of a river in northeastern Brazil. A map with 34 concepts, 60 connections and its respective performance indicators were obtained, which represents a holistic view about the problem, considering the perspectives and interests of different stakeholders (government, civil society, and water users). The map is an important source for the formulation of alternatives for mitigating the degradation of the watershed. Moreover, the construction of the map promoted a common understanding about the problem, reducing the possibility of conflict among the members of the committee.
引用
收藏
页码：1348 / 1353
页数：6
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