A simplified multi-granular linguistic term sets method

• Published in: International Journal of Operational Research
• Main Author: Hanif H.; Mohamad D.; Dom R.M.
• Format: Article
• Language: English
• Published: Inderscience Publishers 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190553637&doi=10.1504%2fIJOR.2024.137923&partnerID=40&md5=783d5a34fe872e5b650c0e3b90122ec0

The multi-granular concept involves many parts of a complex system or model. Since the late 1990s, many researchers have started to incorporate multi-granular concepts in their research areas. This paper focuses on the use of multi-granular linguistic (MGL) term sets in the decision-making method. The use of the MGL method in decision-making may impose a high level of complexity since it offers flexibility to the decision-maker. The flexibility given is by determining the output of the cardinality. Complexity in a method may impose disadvantages in terms of, for example, inaccuracy of outcomes, loss of information, and time consumption. Hence, a simplified multi-granular linguistic term sets (SMM) method is proposed with a lower complexity level to overcome the disadvantages of complexity. This was achieved by introducing a parallel process of cardinality (PPC) into the simplified multi-granular linguistic term sets method (SMM). After proposing the simplified multi-granular linguistic term sets method, the complexity level of this method is compared with other methods based on the relative complexity index (RCI). © 2024 Inderscience Enterprises Ltd.