A Selection Process Based on Additive Consistency to Deal with Incomplete Fuzzy Linguistic Information
Year: 2010
Type: article
Abstract: : In group decision making situations, there may be cases in which experts do not have an in-depth knowledge of the problem to be solved and, as a result, they may present incomplete information. In this paper, we present a new selection process to deal with incomplete fuzzy linguistic information. As part of it, we use an iterative procedure to estimate the missing information. This procedure is guided by the additive consistency property and only uses the preference values provided by the experts. In addition, the additive consistency property is also used to measure the level of consistency of the information provided by the experts. The main novelties of this selection process are both the possibility to manage decision situations under incomplete fuzzy linguistic information and the importance of the experts ’ preferences in the aggregation processes is modeled by means of the experts ’ consistency. Key Words: group decision making, incomplete information, fuzzy linguistic information, consistency, aggregation
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W233079913