Abstract
In recent days, the use of the fuzzy set theory to deal with social complexity has become more attractive as a research area to academics who wish to contribute to sustainable development. The socio-ecological systems are one of the well-known sub-disciplines of social science which is very critical issue to maintain sustainability and this concept basically concerns with the human-environment interactions. These systems involve various stakeholders with different levels of knowledge and experience from diverse social platforms. The basic characteristic of these systems is identified as having high level of uncertainty and incomplete information. The main purpose of this chapter is to demonstrate how to incorporate fuzzy sets theory into social sciences. In this chapter, an illustrative example which consists of a wide variety of social actors is used to evaluate sustainable management options utilizing the extended technique for order preference by similarity to ideal solution (TOPSIS) method for interval valued intuitionistic fuzzy multi-criteria group decision making.
| Original language | English |
|---|---|
| Title of host publication | Studies in Fuzziness and Soft Computing |
| Publisher | Springer Verlag |
| Pages | 309-326 |
| Number of pages | 18 |
| DOIs | |
| Publication status | Published - 2016 |
Publication series
| Name | Studies in Fuzziness and Soft Computing |
|---|---|
| Volume | 341 |
| ISSN (Print) | 1434-9922 |
Bibliographical note
Publisher Copyright:© Springer International Publishing Switzerland 2016.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
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SDG 17 Partnerships for the Goals
Keywords
- Extended TOPSIS
- Interval-valued intuitionistic fuzzy sets
- Multi-criteria decision making
- Socio-ecological systems
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