Page 401 - Biofuels for a More Sustainable Future

CHAPTER 13

A multicriteria intuitionistic fuzzy

group decision-making method

for sustainability ranking of

biofuel production pathways

,†
Yi Man* , Jingzheng Ren*, Ruojue Lin*, Yue Liu*
*
Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University,
Hong Kong SAR, China
†
School of Light Industry and Engineering, South China University of Technology, Guangzhou, China
Contents

1 Introduction 357
2 Methods 360
2.1 Basics of intuitionistic fuzzy set 360
2.2 Similarity measure-based multicriteria decision-making method 363
3 Case study 369
4 Conclusions 374
References 375

1 Introduction
In order to select the most sustainable biofuel production pathway among
multiple options, and the investigation of the sustainability of different path-
ways for biofuel production, there are various studies focusing on sustain-
ability assessment and measurement of biofuel production pathways. Liew
et al. (2014) have carried out a comprehensive literature review of technol-
ogies and assessment methods on economic performance, safety, health and
environment, and social impacts, and the typical methods for sustainability
assessment of biofuel production were also evaluated. Mata et al. (2013)
developed a sustainability evaluation methodology by using five indicators
including life cycle energy efficiency, fossil energy ratio, contribution to
global warming, land use intensity, and carbon stock change emissions for
sustainability analysis of biofuels through the supply chain. Azapagic and

Biofuels for a More Sustainable Future © 2020 Elsevier Inc.
https://doi.org/10.1016/B978-0-12-815581-3.00013-0 All rights reserved. 357