Title: A simplified multi-granular linguistic term sets method

Authors: Harliza Hanif; Daud Mohamad; Rosma Mohd Dom

Addresses: Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor Darul Ehsan, Malaysia ' Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor Darul Ehsan, Malaysia ' Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor Darul Ehsan, Malaysia

Abstract: 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).

Keywords: cardinality; multi-granular; parallel-process; simplified.

DOI: 10.1504/IJOR.2024.137923

International Journal of Operational Research, 2024 Vol.49 No.4, pp.539 - 558

Received: 01 Feb 2021
Accepted: 12 Jul 2021
Published online: 11 Apr 2024 *

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