Spherical Fuzzy EXPROM Method: Wastewater Treatment Technology Selection Application

Cengiz Kahraman, Basar Oztaysi, Sezi Cevik Onar*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

EXtension of the PROMethee (EXPROM) methods were first introduced in 1991. These methods try to find a solution for ranking the alternatives more accurately using the available information. EXPROM-I method performs a partial ranking of alternatives whereas EXPROM-II does a full ranking of the alternatives. Vague and imprecise data of multi-criteria decision making problems can be better captured by spherical fuzzy sets (SFS) than ordinary fuzzy sets. SFS are an extension of picture fuzzy sets, presenting a larger definition volume for the parameters of membership function. In this paper, spherical fuzzy EXPROM method is developed and applied to the solution of a wastewater treatment technology selection problem.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference
EditorsCengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari
PublisherSpringer Science and Business Media Deutschland GmbH
Pages789-801
Number of pages13
ISBN (Print)9783030855765
DOIs
Publication statusPublished - 2022
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2021 - Istanbul, Turkey
Duration: 24 Aug 202126 Aug 2021

Publication series

NameLecture Notes in Networks and Systems
Volume308
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2021
Country/TerritoryTurkey
CityIstanbul
Period24/08/2126/08/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • EXPROM method
  • Multi-criteria decision making
  • Spherical fuzzy sets
  • Water treatment technology

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