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

Raja Jayaraman; Danilo Liuzzi; Cinzia Colapinto; Tufail Malik

doi:10.1007/s10479-015-1825-5

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

Raja Jayaraman, Danilo Liuzzi, Cinzia Colapinto, Tufail Malik

Management Science & Engineering

Ca’ Foscari University of Venice

Research output: Contribution to journal › Article › peer-review

38 Scopus citations

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.

Original language	British English
Pages (from-to)	255-270
Number of pages	16
Journal	Annals of Operations Research
Volume	251
Issue number	1-2
DOIs	https://doi.org/10.1007/s10479-015-1825-5
State	Published - 1 Apr 2017

Keywords

Energy
Environment
Fuzzy goal programming
Membership functions
Multi-criteria decision making

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s10479-015-1825-5

Cite this

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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.",

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N1 - Funding Information: This work was supported by funding from Office of Research Support, Internal Research Fund (KUIRF)—Grant Number 210032, Khalifa University. This work has been carried out and completed during research visits of Cinzia Colapinto at Khalifa University. Publisher Copyright: © 2015, Springer Science+Business Media New York.

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AB - 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.

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KW - Membership functions

KW - Multi-criteria decision making

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

Abstract

Keywords

UN SDGs

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