Goal programming models offer an analytical framework to study multi-criteria problems involving several conflicting objectives. Real world problems often involve imprecise information, which makes fuzzy goal programming (FGP) models the most attractive choice. In this paper, we propose an FGP model that integrates optimal resource allocation to simultaneously satisfy prospective goals on economic development, energy consumption, workforce, and greenhouse gas emission reduction applied to key economic sectors of the United Arab Emirates. The model offers valuable insights to decision makers for strategic planning and investment allocations towards sustainable development. We demonstrate the validity and applicability of the model through a numerical example.

A fuzzy goal programming model to analyze energy, environmental and sustainability goals of the United Arab Emirates / R. Jayaraman, D. Liuzzi, C. Colapinto, T. Malik. - In: ANNALS OF OPERATIONS RESEARCH. - ISSN 0254-5330. - 251:1-2(2017), pp. 255-270. [10.1007/s10479-015-1825-5]

A fuzzy goal programming model to analyze energy, environmental and sustainability goals of the United Arab Emirates

D. Liuzzi;C. Colapinto;
2017

Abstract

Goal programming models offer an analytical framework to study multi-criteria problems involving several conflicting objectives. Real world problems often involve imprecise information, which makes fuzzy goal programming (FGP) models the most attractive choice. In this paper, we propose an FGP model that integrates optimal resource allocation to simultaneously satisfy prospective goals on economic development, energy consumption, workforce, and greenhouse gas emission reduction applied to key economic sectors of the United Arab Emirates. The model offers valuable insights to decision makers for strategic planning and investment allocations towards sustainable development. We demonstrate the validity and applicability of the model through a numerical example.
Energy; Environment; Fuzzy goal programming; Membership functions; Multi-criteria decision making
Settore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e Finanziarie
2017
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/788071
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