{"_id":"THxuwoA4XLdrLtDJj","bibbaseid":"anonymous-timebasedhesitantfuzzyinformationaggregationapproachfordecisionmakingproblems-2014","downloads":0,"creationDate":"2017-03-31T20:15:32.791Z","title":"Time-based hesitant fuzzy information aggregation approach for decision-making problems","author_short":null,"year":2014,"bibtype":"article","biburl":"https://1fichier.com/?j9cpurkmnv","bibdata":{"bibtype":"article","type":"article","abstract":"Hesitant fuzzy sets have been proposed as an extension of fuzzy sets to address situations in which decision makers exhibit variations in their alternatives' assessment values. However, in real-world problems, the decision-making process has to be accomplished under situations where these assessment values may also drastically change over time. In this paper, we propose a prioritized aggregation operator to combine a time sequence of hesitant fuzzy information, where the time-based hesitancy due to changing environment is mitigated. The proposed method is applied to the service selection problem in service-based systems, where software architects must select as a group the service that has the best combination of features based on their historical assessments. We claim that the time-based hesitant fuzzy information aggregation method addresses the hesitancy at intra- and interexpert levels obtaining more robust decisions. © 2014 Wiley Periodicals, Inc.","number":"6","year":"2014","title":"Time-based hesitant fuzzy information aggregation approach for decision-making problems","volume":"29","pages":"579-595","doi":"10.1002/int.21658","journal":"International Journal of Intelligent Systems","bibtex":"@article{10.1002/int.21658,\n abstract = \"Hesitant fuzzy sets have been proposed as an extension of fuzzy sets to address situations in which decision makers exhibit variations in their alternatives' assessment values. However, in real-world problems, the decision-making process has to be accomplished under situations where these assessment values may also drastically change over time. In this paper, we propose a prioritized aggregation operator to combine a time sequence of hesitant fuzzy information, where the time-based hesitancy due to changing environment is mitigated. The proposed method is applied to the service selection problem in service-based systems, where software architects must select as a group the service that has the best combination of features based on their historical assessments. We claim that the time-based hesitant fuzzy information aggregation method addresses the hesitancy at intra- and interexpert levels obtaining more robust decisions. © 2014 Wiley Periodicals, Inc.\",\n number = \"6\",\n year = \"2014\",\n title = \"Time-based hesitant fuzzy information aggregation approach for decision-making problems\",\n volume = \"29\",\n pages = \"579-595\",\n doi = \"10.1002/int.21658\",\n journal = \"International Journal of Intelligent Systems\"\n}\n\n","key":"10.1002/int.21658","id":"10.1002/int.21658","bibbaseid":"anonymous-timebasedhesitantfuzzyinformationaggregationapproachfordecisionmakingproblems-2014","urls":{},"downloads":0,"html":""},"search_terms":["time","based","hesitant","fuzzy","information","aggregation","approach","decision","making","problems"],"keywords":[],"authorIDs":[],"dataSources":["gKiCRHjjC2iGthGEx"]}