A Multiple and Multidimensional Linguistic Truth-Valued Reasoning Method and its Application in Multimedia Teaching Evaluation

Analytic reasoning Operator (biology) Qualitative reasoning
DOI: 10.1007/s44196-022-00085-6 Publication Date: 2022-05-27T03:43:11Z
ABSTRACT
Abstract With the expansion of epidemic, online multimedia teaching has become a common trend. The reasoning model evaluation is useful tool to infer result effects and predict tendency. However, ambiguity in linguistic-valued leads problems always context with uncertainty. To make better deal multiple multidimensional uncertainty environment, while considering both positive evidence negative at same time, this paper mainly focuses on linguistic truth-valued intuitionistic fuzzy layered aggregation (LTV-IFLA) method. First, based lattice (LTV-IFL), we realize aggregating information through average (LAA) operator presented by paper. Furthermore, weighted (LWAA) proposed consider setting different weights achieve personalization results. Finally, which simulates human language illustrate method’s rationality validity.
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