Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence

Autor:	Wu, Yuzhu, Herrera Triguero, Francisco
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Artificial intelligence Multiple attribute decision making Distributed linguistic representation Computing with words Preference relation Linguistic decision making Inteligencia artificial
Popis:	Distributed linguistic representations are powerful tools for modelling the uncertainty and complexity of preference information in linguistic decision making. To provide a comprehensive perspective on the development of distributed linguistic representations in decision making, we present the taxonomy of existing distributed linguistic representations. Then, we review the key elements and applications of distributed linguistic information processing in decision making, including the distance measurement, aggregation methods, distributed linguistic preference relations, and distributed linguistic multiple attribute decision making models. Next, we provide a discussion on ongoing challenges and future research directions from the perspective of data science and explainable artificial intelligence. National Natural Science Foundation of China (NSFC) 71971039 71421001,71910107002,71771037,71874023 71871149 Sichuan University sksyl201705 2018hhs-58
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=od______1648::ba82cda309e70dbc0141715c57c8f4d0 https://hdl.handle.net/10481/77984 Zobrazit plný text záznamu