Decision-Making for Projects Realization/Support: Approach Based on Stochastic Dominance Rules Versus Multi-Actor Multi-Criteria Analysis
Dorota Górecka ()
Additional contact information
Dorota Górecka: Nicolaus Copernicus University in Toruń
A chapter in Operations Research Proceedings 2019, 2020, pp 149-155 from Springer
Abstract:
Abstract The selection of projects for realization or co-financing is a complex process, often strategic in nature, which involves confronting trade-offs between multiple, frequently conflicting, factors. In this process the expectations of various stakeholders should be taken into account, while simultaneously ensuring the achievement of numerous objectives. This work presents and compares the application of two approaches—multi-criteria decision aiding (MCDA) methods for mixed evaluations (deterministic and stochastic ones, thus with stochastic dominance (SD) rules), e.g. BIPOLAR MIX, and multi-actor multi-criteria analysis (MAMCA)—to help decision-makers (DMs) in the project selection process. The problem is illustrated by ranking environmental infrastructure projects.
Keywords: MCDA; MAMCA; BIPOLAR MIX (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-030-48439-2_18
Ordering information: This item can be ordered from
http://www.springer.com/9783030484392
DOI: 10.1007/978-3-030-48439-2_18
Access Statistics for this chapter
More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().