Fuzzy methods for assessing criteria and indicators of sustainable forest management
This paper describes the general concepts, meaning, and definitions of sustainability and proposes the use of soft methodologies, particularly fuzzy set theory, for its assessment. Basic elements and concepts of fuzzy sets are described, including membership functions and their interpretations in th...
| Main Authors: | , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
2003
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| Online Access: | https://hdl.handle.net/10568/18960 |
| _version_ | 1855529612747997184 |
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| author | Mendoza, G.A. Prabhu, Ravi |
| author_browse | Mendoza, G.A. Prabhu, Ravi |
| author_facet | Mendoza, G.A. Prabhu, Ravi |
| author_sort | Mendoza, G.A. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This paper describes the general concepts, meaning, and definitions of sustainability and proposes the use of soft methodologies, particularly fuzzy set theory, for its assessment. Basic elements and concepts of fuzzy sets are described, including membership functions and their interpretations in the context of sustainable forest management. Moreover, fuzzy operators that can combine the operational concepts of sustainability, namely criteria and indicators are described. A simple illustrative example is described to demonstrate the application of these methodologies. |
| format | Journal Article |
| id | CGSpace18960 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2003 |
| publishDateRange | 2003 |
| publishDateSort | 2003 |
| record_format | dspace |
| spelling | CGSpace189602025-01-24T14:19:45Z Fuzzy methods for assessing criteria and indicators of sustainable forest management Mendoza, G.A. Prabhu, Ravi forest management sustainability assessment indicators methodology This paper describes the general concepts, meaning, and definitions of sustainability and proposes the use of soft methodologies, particularly fuzzy set theory, for its assessment. Basic elements and concepts of fuzzy sets are described, including membership functions and their interpretations in the context of sustainable forest management. Moreover, fuzzy operators that can combine the operational concepts of sustainability, namely criteria and indicators are described. A simple illustrative example is described to demonstrate the application of these methodologies. 2003 2012-06-04T09:08:59Z 2012-06-04T09:08:59Z Journal Article https://hdl.handle.net/10568/18960 en Mendoza, G.A., Prabhu, R. 2003. Fuzzy methods for assessing criteria and indicators of sustainable forest management . Ecological Indicators 3 :227-236. |
| spellingShingle | forest management sustainability assessment indicators methodology Mendoza, G.A. Prabhu, Ravi Fuzzy methods for assessing criteria and indicators of sustainable forest management |
| title | Fuzzy methods for assessing criteria and indicators of sustainable forest management |
| title_full | Fuzzy methods for assessing criteria and indicators of sustainable forest management |
| title_fullStr | Fuzzy methods for assessing criteria and indicators of sustainable forest management |
| title_full_unstemmed | Fuzzy methods for assessing criteria and indicators of sustainable forest management |
| title_short | Fuzzy methods for assessing criteria and indicators of sustainable forest management |
| title_sort | fuzzy methods for assessing criteria and indicators of sustainable forest management |
| topic | forest management sustainability assessment indicators methodology |
| url | https://hdl.handle.net/10568/18960 |
| work_keys_str_mv | AT mendozaga fuzzymethodsforassessingcriteriaandindicatorsofsustainableforestmanagement AT prabhuravi fuzzymethodsforassessingcriteriaandindicatorsofsustainableforestmanagement |