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

Sakawa M & Kato K (2009). Fuzzy Random Noncooperative Two-level Linear Programming through Absolute Deviation Minimization Using Possibility and Necessity. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-09-021

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Abstract

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.

Item Type: Monograph (IIASA Interim Report)
Uncontrolled Keywords: Two-level linear programming problem; Fuzzy randm variables; Stackelberg solutions; Possibility; Necessity; Absolute deviation minimization
Research Programs: Integrated Modeling Environment (IME)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:43
Last Modified: 03 Nov 2016 08:42
URI: http://pure.iiasa.ac.at/9128

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