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

Research output: Contribution to journalArticle

13 Citations (Scopus)

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 languageEnglish
Pages (from-to)255-270
Number of pages16
JournalAnnals of Operations Research
Volume251
Issue number1-2
DOIs
Publication statusPublished - Apr 1 2017
Externally publishedYes

Fingerprint

Sustainability
United Arab Emirates
Fuzzy goal programming
Energy
Workforce
Greenhouse gas emissions
Resource allocation
Sustainable development
Economic development
Energy consumption
Decision maker
Imprecise information
Investment allocation
Economic sectors
Strategic investment
Emission reduction
Strategic planning
Multi-criteria
Goal programming

Keywords

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

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Management Science and Operations Research

Cite this

A fuzzy goal programming model to analyze energy, environmental and sustainability goals of the United Arab Emirates. / Jayaraman, Raja; Liuzzi, Danilo; Colapinto, Cinzia; Malik, Tufail.

In: Annals of Operations Research, Vol. 251, No. 1-2, 01.04.2017, p. 255-270.

Research output: Contribution to journalArticle

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