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 language | English |
---|---|
Title of host publication | Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference |
Editors | Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 813-819 |
Number of pages | 7 |
ISBN (Print) | 9783030856250 |
DOIs | |
Publication status | Published - 2022 |
Event | International Conference on Intelligent and Fuzzy Systems, INFUS 2021 - Istanbul, Turkey Duration: 24 Aug 2021 → 26 Aug 2021 |
Publication series
Name | Lecture Notes in Networks and Systems |
---|---|
Volume | 307 |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | International Conference on Intelligent and Fuzzy Systems, INFUS 2021 |
---|---|
Country/Territory | Turkey |
City | Istanbul |
Period | 24/08/21 → 26/08/21 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Fuzzy measures
- Interaction
- Multiple criteria
- Scenario planning