Abstract
This paper introduces an Interval-Fuzzy Possibilistic Programming (IFPP) method to handle uncertainties expressed as interval values and fuzzy sets. An interactive algorithm is advanced for solving the IFPP model, which does not lead to more complicated intermediate submodels and has a relatively low computational requirement. A municipal solid waste management problem is then studied to illustrate applicability of the proposed approach. The results indicate that reasonable solutions have been generated. They can facilitate the generation of multiple decision alternatives, as well as provide bases for in-depth analyses of tradeoffs among system cost, possibility degree, and constraint-violation risk.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Environment and Pollution
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
