Extended Tsukamoto's inference method for solving multi-objective linguistic optimization problems
DOI10.1016/J.FSS.2019.02.022zbMath1464.90088OpenAlexW2921697768WikidataQ128248791 ScholiaQ128248791MaRDI QIDQ2036557
Pranab K. Muhuri, Prashant K. Gupta
Publication date: 29 June 2021
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.fss.2019.02.022
monotonic functionsfuzzy optimizationnon-monotonic functionsmulti-objective linguistic optimizationstudent's performance evaluationTsukamoto's fuzzy inference method
Multi-objective and goal programming (90C29) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)
Cites Work
- Fuzzy sets and systems. Theory and applications
- Multiobjective linguistic optimization
- Interpretability of fuzzy linguistic summaries
- Multiple criteria decision making: The case for interdependence
- Fuzzy logic -- a personal perspective
- On the centroids of fuzzy numbers
- An experiment in linguistic synthesis with a fuzzy logic controller
- A measurement-informational discussion of fuzzy union and intersection
- Fuzzy sets
- Optimization under fuzzy if-then rules.
This page was built for publication: Extended Tsukamoto's inference method for solving multi-objective linguistic optimization problems