Fuzzy approach to the environmental impact evaluation

By M. Enea, G. Salemi. 2001

139 citations recorded by the source corpus.

Subfields: Management, Monitoring, Policy and Law, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/5756be11ff6f5e7b4cc3bb630e06c808785666ea

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management, Monitoring, Policy and Law

1. B. Locatelli
2. Varinia Rojas
3. I. Lu
4. Z. Salinas
5. Sue J. Lin
6. Pablo Imbach
7. Sven Wunder
8. Charles Lewis

In Management Science and Operations Research

1. Pablo Imbach
2. B. Locatelli
3. Varinia Rojas
4. I. Lu
5. Z. Salinas
6. Sue J. Lin
7. Sven Wunder
8. Charles Lewis

In Strategy and Management

1. Varinia Rojas
2. I. Lu
3. Z. Salinas
4. Sue J. Lin
5. Pablo Imbach
6. Sven Wunder
7. Charles Lewis
8. B. Locatelli

Citations in the corpus

• Grey relation performance correlations among economics, energy use and carbon dioxide emission in Taiwan (2007, methodology): “Although fuzzy set theory can be used to simulate a complex and unclear system by constructing membership functions, this is somewhat subjective and time-consuming in operation (Enea and Salemi, 2001; Fisher, 2003).”
• Impacts of payments for environmental services on local development in northern Costa Rica : A fuzzy multi-criteria analysis (2008, methodology): “, 2001), environmental impact evaluation (Enea and Salemi, 2001), or natural resource management (Bender and Simonovic, 2000).”
• Synergies and trade-offs between ecosystem services in Costa Rica (2013, methodology): “This approach is inspired by the fuzzy set theory (Zadeh 1965), which has been applied to sustainability assessment (Cornelissen et al. 2001), environmental impact evaluation (Enea & Salemi 2001) and natural resource management (Bender & Simonovic 2000).”