Group decision-making approach for evaluating the sustainability of constructed wetlands with probabilistic linguistic preference relations
Sui-zhi Luo,
Hong-yu Zhang,
Jian-qiang Wang and
Lin Li
Journal of the Operational Research Society, 2019, vol. 70, issue 12, 2039-2055
Abstract:
Industrialisation and urbanisation have led to the substantial decrease of natural wetlands. Thus, assessing the sustainability of artificial wetlands has become an important topic. Generally, people are more accustomed to using linguistic phrases to express preference information. In this case, utilising probabilistic linguistic term sets (PLTSs) is a good choice for information expression. Besides, decision makers (DMs) may prefer to construct preference matrices by comparing the pairwise alternatives. Accordingly, this study focuses on the probabilistic linguistic preference relations (PLPRs). The cosine similarity measure of PLTSs is first proposed. Thereafter, the consistency/consensus issues are discussed and a strategy based on trust degree is investigated to derive important degrees of experts. Then an optimisation model is developed to calculate the priority weights. The main novelty is the idea of maximising the similarity measure. Finally, an example of wetlands assessment is illustrated to verify the effectiveness and advantages of our approach.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2018.1510806 (text/html)
Access to full text is restricted to subscribers.
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:taf:tjorxx:v:70:y:2019:i:12:p:2039-2055
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20
DOI: 10.1080/01605682.2018.1510806
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald
More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().