Data-driven method to learning personalized individual semantics to support linguistic multi-attribute decision making-Reference-Cited by-同舟云学术

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Data-driven method to learning personalized individual semantics to support linguistic multi-attribute decision making

Published:2022-09 Issue: Volume:111 Page:102642
ISSN:0305-0483
Container-title:Omega
language:en
Short-container-title:Omega

Author:

Li Cong-Cong,Dong Yucheng,Liang Haiming,Pedrycz Witold,Herrera Francisco

Funder

Southwest Jiaotong University

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Sichuan University

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Strategy and Management

Reference40 articles.

1. Modeling uncertainty in multi-criteria decision analysis;Durbach;Eur J Oper Res,2012

2. Multi-criteria decision making in dynamic slotting for attended home deliveries;Lang;Omega,2021

3. Multiple criteria decision making, multiattribute utility theory: recent accomplishments and what lies ahead;Wallenius;Manag Sci,2008

4. The 2-rank additive model with axiomatic design in multiple attribute decision making;Wu;Eur J Oper Res,2020

5. The 2-tuple linguistic model: computing with words in decision making;Martínez,2015

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