Abstract
A linguistic format for sensory assessment of foods as well as computational methods to analyze taste panel opinions have been developed within the framework of fuzzy set theory. The methodology is demonstrated via sensory analysis of roasted peanuts. Sensory analysis was represented as linguistic values and associated truth values for attributes such as roast flavor, bitterness and overall quality. This format allowed panelists to describe and discriminate different roast characteristics. Replicate analyses of the same sample were reasonably consistent. The linguistic information was simple yet rich in meaning and could be used to make inferences for quality and process control. Yager's ordered weighted median aggregation operator was used to estimate the expected linguistic values for aroma, flavor, bitterness, sweetness, color and overall quality.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
