Research Article | OPEN ACCESS
A Novel Fuzzy Mathematical Method to the Sensory Evaluation of Wine
Jinyun Xie
Changsha Vocational and Technical College, Changsha, 410010, China
Advance Journal of Food Science and Technology 2016 5:343-347
Received: May 7, 2015 | Accepted: June 22, 2015 | Published: February 15, 2016
Abstract
The aim of this study is to propose a new sensory evaluation method of wine. Sensory evaluation of wine contains four evaluating factors, which are color, aroma, taste and style. Sensory evaluation values given by experts are usually expressed with linguistic terms, which are more suitable depicted by triangular numbers than crisp numbers. The new evaluation method is developed with the concept of TOPSIS combining with fuzzy AHP method. The fuzzy AHP method is used to determine the weights of attributes and TOPSIS method is used to rank all the wine samples. An applied example is given to verify the new method and the result shows that the proposed method is effective and feasible.
Keywords:
AHP method, fuzzy, linguistic term, sensory evaluation, TOPSIS, triangular fuzzy number,
References
- Chang, D.Y., 1996. Applications of the extent analysis method on fuzzy AHP. Eur. J. Oper. Res., 95: 649-655.
CrossRef - Chen, C.T., 2000. Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Set. Syst., 114: 1-9.
CrossRef Direct Link - Chen, T.Y., C.H. Chang and J.F.R. Lu, 2013. The extended QUALIFLEX method for multiple criteria decision analysis based on interval type-2 fuzzy sets and applications to medical decision making. Eur. J. Oper. Res., 226(3): 615-625.
CrossRef - Debjani, C., S. Das and H. Das, 2013. Aggregation of sensory data using fuzzy logic for sensory quality evaluation of food. J. Food Sci. Technol., 50(6): 1088-1096.
CrossRef PMid:24426020 PMCid:PMC3791237 Direct Link - Huang, L.B., X.M. Ding, H.X. Mu, X. Lin and S.X. Zhao, 2014. Application of fuzzy mathematics in sensory evaluation of citrus wine. Liquor-Making Sci. Technol., 9: 65-68.
-
Hsieh, T.Y., S.T. Lu and G.H. Tzeng, 2004. Fuzzy MCDM approach for planning and design tenders selection in public office buildings. Int. J. Proj. Manag., 22: 573-584.
CrossRef - Igoulalene, I., L. Benyoucef and M.K. Tiwari, 2015. Novel fuzzy hybrid multi-criteria group decision making approaches for the strategic supplier selection problem. Expert Syst. Appl., 42(7): 3342-3356.
CrossRef -
Jahan, A. and K.L. Edwards, 2013. VIKOR method for material selection problems with interval numbers and target-based criteria. Mater. Design, 47: 759-765.
CrossRef - Ji, Y., G.H. Huang and W. Sun, 2015. Risk assessment of hydropower stations through an integrated fuzzy entropy-weight multiple criteria decision making method: A case study of the Xiangxi River. Expert Syst. Appl., 42(12): 5380-5389.
CrossRef - Martínez, L., 2007. Sensory evaluation based on linguistic decision analysis. Int. J. Approx. Reason., 44(2): 148-164.
CrossRef Direct Link - Martínez, L., M. Espinilla and L.G. Pérez, 2008. A linguistic multigranular sensory evaluation model for olive oil. Int. J. Comput. Int. Sys., 1(2): 148-158.
CrossRef Direct Link -
Naghadehi, M.Z., R. Mikaeil and M. Ataei, 2009. The application of Fuzzy Analytic Hierarchy Process (FAHP) approach to selection of optimum underground mining method for Jajarm Bauxite Mine, Iran. Expert Syst. Appl., 36: 8218-8226.
CrossRef - Ren, H.P. and L.W. Yang, 2014. Fuzzy multi-attribute group decision making method for wine evaluation model. Adv. J. Food Sci. Technol., 6(6): 825-828.
Direct Link - Sinija, V.R. and H.N. Mishra, 2011. Fuzzy analysis of sensory data for quality evaluation and ranking of instant green tea powder and granules. Food Bioprocess Tech., 4: 408-416.
CrossRef Direct Link - Stone, H. and J.L. Sidel, 2004. Sensory Evaluation Practices. 3rd Edn., Elsevier, California.
Direct Link -
Tang, Y. and M.J. Beynon, 2005. Application and development of a fuzzy analytic hierarchy process within a capital investment study. J. Econ. Manage., 1: 207-230.
- Wang, Q. and H.P. Ren, 2014. Combining TOPSIS with group eigenvalue method for wine evaluation model. Adv. J. Food Sci. Technol., 6(6): 751-754.
- Wei, Y.Y, Y. Zhou, M.Y. Guo and F.G. Wang, 2014. Study on sensory assessment of classification of soy sauce. China Condiment, 39(6): 36-37.
- Zolfaghari, Z.S., M. Mohebbi and M. Najariyan, 2014. Application of fuzzy linear regression method for sensory evaluation of fried donut. Appl. Soft Comput., 22: 417-423.
CrossRef Direct Link
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Print): 2042-4868 |
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