Malcolm baldrige national quality award assessment using interval valued pythagorean fuzzy sets

Elif Haktanır*, Cengiz Kahraman

*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

Malcolm Baldrige National Quality Award (MBNQA) is a highly acknowledged performance excellence model. Since almost all the publications in the literature are based on crisp measurements and evaluations of the system performances, we proposed a multi attribute decision making (MADM) method using interval valued Pythagorean fuzzy weighted geometric (IVPFWG) operator for MBNQA assessment. An illustrative example is presented.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
EditorsCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
PublisherSpringer Verlag
Pages1097-1103
Number of pages7
ISBN (Print)9783030237554
DOIs
Publication statusPublished - 2020
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey
Duration: 23 Jul 201925 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1029
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019
Country/TerritoryTurkey
CityIstanbul
Period23/07/1925/07/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

  • Interval-valued pythagorean fuzzy sets
  • Malcolm Baldrige National Quality Award
  • Multi attribute decision making

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