Fuzzy Random Noncooperative Two-level Linear Programming through Absolute Deviation Minimization Using Possibility and Necessity

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/13355 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/13355 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/13355 archive 351 disk0/00/00/91/28 2016-01-15 08:43:30 2021-08-27 17:21:08 2016-01-15 08:43:30 monograph show 2 Sakawa M. 8446 Kato K. Fuzzy Random Noncooperative Two-level Linear Programming through Absolute Deviation Minimization Using Possibility and Necessity pub iis_met iis_mod prog_ime Two-level linear programming problem; Fuzzy randm variables; Stackelberg solutions; Possibility; Necessity; Absolute deviation minimization This paper considers fuzzy random two-level linear programming problems under noncooperative behaviorof the decision makers. Having introduced fuzzy goals of decision makers together with the possibiliy and necessity measure, following absolute deviation minimization, fuzzy random two-level programin problems are transformed into deterministic ones. Extended Stackelberg solutions are introduced andcomputational methods are also presented. 2009-05 published IR-09-021 IR-09-021 1550 public interim_report IIASA, Laxenburg, Austria 27 FALSE info:eu-repo/semantics/book