Characterization of sustainability using fuzzy opinion systems

Alvaro Talavera; Leonardo Forero; Manoela Kohler; Marco A. Pacheco

doi:10.1109/LA-CCI.2016.7885709

Characterization of sustainability using fuzzy opinion systems

Alvaro Talavera
, Leonardo Forero
, Manoela Kohler
, Marco A. Pacheco

Research output: Contribution to conference › Paper

Abstract

This paper proposes a methodology based in fuzzy opinion under group decision making, to obtain a single index of sustainability and indicate the best actions to improve this index. This proposed methodology was implemented in a software system that provides managers with an important computational support to detect problems and implement actions to improve processes in all areas of the company, aiming to supersede sustainability benchmarks. The system can unify a company's sustainability indicators of the most distinct dimensions (environmental, economic, and social), in a single index, which represents an innovative approach to sustainability evaluation.

Original language	English
DOIs	https://doi.org/10.1109/LA-CCI.2016.7885709
State	Published - 23 Mar 2017
Event	2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings - Duration: 23 Mar 2017 → …

Conference

Conference	2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings
Period	23/03/17 → …

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production
SDG 17 Partnerships for the Goals

Keywords

Fuzzy logic
Fuzzy opinion
Index of sustainability

Access to Document

10.1109/LA-CCI.2016.7885709

Cite this

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title = "Characterization of sustainability using fuzzy opinion systems",

abstract = "This paper proposes a methodology based in fuzzy opinion under group decision making, to obtain a single index of sustainability and indicate the best actions to improve this index. This proposed methodology was implemented in a software system that provides managers with an important computational support to detect problems and implement actions to improve processes in all areas of the company, aiming to supersede sustainability benchmarks. The system can unify a company's sustainability indicators of the most distinct dimensions (environmental, economic, and social), in a single index, which represents an innovative approach to sustainability evaluation.",

keywords = "Fuzzy logic, Fuzzy opinion, Index of sustainability, Fuzzy logic, Fuzzy opinion, Index of sustainability",

author = "Alvaro Talavera and Leonardo Forero and Manoela Kohler and Pacheco, \{Marco A.\}",

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month = mar,

day = "23",

doi = "10.1109/LA-CCI.2016.7885709",

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AU - Talavera, Alvaro

AU - Forero, Leonardo

AU - Kohler, Manoela

AU - Pacheco, Marco A.

PY - 2017/3/23

Y1 - 2017/3/23

N2 - This paper proposes a methodology based in fuzzy opinion under group decision making, to obtain a single index of sustainability and indicate the best actions to improve this index. This proposed methodology was implemented in a software system that provides managers with an important computational support to detect problems and implement actions to improve processes in all areas of the company, aiming to supersede sustainability benchmarks. The system can unify a company's sustainability indicators of the most distinct dimensions (environmental, economic, and social), in a single index, which represents an innovative approach to sustainability evaluation.

AB - This paper proposes a methodology based in fuzzy opinion under group decision making, to obtain a single index of sustainability and indicate the best actions to improve this index. This proposed methodology was implemented in a software system that provides managers with an important computational support to detect problems and implement actions to improve processes in all areas of the company, aiming to supersede sustainability benchmarks. The system can unify a company's sustainability indicators of the most distinct dimensions (environmental, economic, and social), in a single index, which represents an innovative approach to sustainability evaluation.

KW - Fuzzy logic

KW - Fuzzy opinion

KW - Index of sustainability

KW - Fuzzy logic

KW - Fuzzy opinion

KW - Index of sustainability

UR - https://www.scopus.com/pages/publications/85018186524

U2 - 10.1109/LA-CCI.2016.7885709

DO - 10.1109/LA-CCI.2016.7885709

M3 - Paper

T2 - 2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings

Y2 - 23 March 2017

ER -

Characterization of sustainability using fuzzy opinion systems

Abstract

Conference

UN SDGs

Keywords

Access to Document

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