A Dynamic Sensory Quality Evaluation Model Based on Panel Data and Linguistic Information Processing

Abstract:

The sensory quality evaluation processes are widely used for many industrial products, which is evaluated according to the knowledge acquired via human senses (such as sight, taste, touch, smell). Because the evaluation information acquired by our senses is involving uncertainty, vagueness and imprecision, and the sensory quality information of products always has the panel data characteristic, so the sensory quality evaluation and certification is a multi-feature group decision-making problem based on panel linguistic information processing. This paper presents a proposed method for the development of accredited sensory evaluation methods, and shows the application of the linguistic 2-tuple representation model and its advantages. It involved several steps: gathering of sensory information from experts; computing a collective evaluation for each feature; computing collective evaluations for each object; dynamic aggregation; sensory evaluation and quality certification with global evaluation result.

• Periodical: Applied Mechanics and Materials (Volumes 44-47)
• Pages: 3741-3745
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.44-47.3741
• Online since: December 2010
• Authors: Dong Ling Zhang
• Keywords: 2-Tuple Linguistic, Entropy, Group Decision-Making, Linguistic Information, Multi-Feature, Panel Data, Sensory Evaluation

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