학술논문

Dual probabilistic linguistic term set and its application on multi-criteria group decision making problems
Document Type
Conference
Source
2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Industrial Engineering and Engineering Management (IEEM), 2017 IEEE International Conference on. :1469-1474 Dec, 2017
Subject
Aerospace
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Nuclear Engineering
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Pragmatics
Probabilistic logic
Decision making
Natural languages
Economics
Tools
Complexity theory
Dual probabilistic linguistic term set
Aggregation operators
Deviation degree
Multi-criteria group decision making
Language
ISSN
2157-362X
Abstract
In real life, multi-criteria group decision making problems are usually tend to be qualitative. Decision makers (DMs) prefer to express their decision making information with natural language. The probabilistic linguistic term set (PLTS) is one of the most popular tools to assist DMs to display their respective decision-making information. To extend the PLTS, in this paper, we give the definition of dual probabilistic linguistic term sets (DPLTSs), which can reveal the complexity and uncertainty of this real world more accurately. In addition, we define some basic operation laws of the DPLTS. A score function and an accuracy function of the DPLTS are defined to compare two DPLTSs. Finally, we develop an aggregation operator of DPLTS for information fusion and use a specific case to demonstrate its availability and effectiveness.