A Fuzzy Measure Based Approach to Scenario Evaluation

Ozgur Yanmaz*, Umut Asan

*Corresponding author for this work

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

Abstract

Scenario planning is a strategic planning tool in which alternative futures are explored and strategies are developed in accordance with these futures. Scenarios, which are combinations of factors relevant to the problem, represent alternative futures. As the number of factors increases, the number of scenarios increases exponentially. Thus, the scenario planning process becomes highly complex and it is hard to develop appropriate strategies up to the numerous scenarios. To handle this problem, various criteria are defined in the literature to measure the quality of the scenarios and reduce their number accordingly. However, in these studies, scenarios are evaluated with respect to each criterion separately and joint (i.e. interaction) effects of factors are ignored. To address these issues, this study proposes a fuzzy measure based approach to consider more than one criterion simultaneously and the interaction between factors. Accordingly, more effective solutions will be created in order to obtain a high quality and reliable scenario set to be transformed into strategies. The applicability and effectiveness of the suggested method are examined by an example.

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
Pages813-819
Number of pages7
ISBN (Print)9783030856250
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
Volume307
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

  • Fuzzy measures
  • Interaction
  • Multiple criteria
  • Scenario planning

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