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Development of a new equation in fuzzy logic analysis for ascertaining appropriate dose of gamma irradiation of virgin coconut oil

机译：建立模糊逻辑分析新方程式以确定原始椰子油的伽马射线辐照剂量

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class="kwd-title">Abbreviations: S, triplet; SO, overall sensory score; QREL, relative weightage; Ya, defuzzified score under condition of (a + c) ≤ 100; Yaˊ, defuzzified score under condition of (a + c) > 100; Bx, overall membership function; Sm, similarity values; IVCO, irradiated virgin coconut oil class="kwd-title">Keywords: Deodorized coconut oil, Shelf-life study, Sensory evaluation, Fuzzy logic, New developed equation, Similarity values class="head no_bottom_margin" id="abs0010title">AbstractOur previous investigation had established 4.2 kGy to be the appropriate dosage of gamma irradiation for removal of obnoxious rancid-acid-odor of virgin coconut oil (VCO) on the basis of sensory and electronic nose (e nose) studies. This study endeavored to revalidate the sensory data employing fuzzy logic analysis. An equation has been developed for the first time for deriving defuzzified scores, when the sum of the first and third coordinates of the triplet (a b c) of overall sensory score was greater than 100, i.e. (a + c) > 100. This study reaffirmed 4.2 kGy to be the most preferred dose for deodorization of VCO. Besides, ranking of the VCO samples were similar by either approach. class="first-line-outdent" id="lis0005">
  • • According to the fuzzy logic method, overall sensory scores were assigned to the VCO samples under investigation, these sensory scores have been represented by a triangle and a polygon when (a+c) is less and more than100, respectively.
  • • The coordinates of the polygon were determined and a new equation has been developed for evaluating defuzzified scores, which has been validated by similarity value analysis.
  • • This new methodology of fuzzy logic analysis can be used to rank samples rapidly and reliably, without any complexity of conventional similarity value approach.
    • 机译：<！-fig ft0-> <！-fig @ position =“ anchor” mode =文章f4-> <！-fig mode =“ anchred” f5-> <！-fig / graphic | fig / alternatives / graphic mode =“ anchored” m1-> class =“ kwd-title”>缩写： S，三元组； SO，整体感官评分； QREL，相对权重； Ya，在（a + c）≤100的条件下的模糊得分； Yaˊ，在（a + c）> 100的条件下进行模糊化得分； Bx，总体会员功能； Sm，相似度值； IVCO，辐照初榨椰子油 class =“ kwd-title”>关键字：脱臭椰子油，保质期研究，感官评估，模糊逻辑，新开发的方程，相似性值 class =“ head no_bottom_margin “ id =” abs0010title“>摘要我们先前的研究已经建立了4.2 kGy作为γ射线的适当剂量，该γγ射线可在感觉和电子的基础上去除原始椰子油（VCO）的讨厌的腐臭酸味。鼻子（e鼻子）研究。这项研究致力于使用模糊逻辑分析重新验证感觉数据。当整体感官分数的三元组（abc）的第一坐标和第三坐标的总和大于100，即（a + c）> 100时，首次开发了一个方程来获得解模糊分数。 4.2？kGy是VCO除臭的最优选剂量。此外，两种方法对VCO样本的排名都相似。 class =“ first-line-outdent” id =“ lis0005”> <！-list-behavior =简单前缀-word = mark-type = none max- label-size = 9->
  • •根据模糊逻辑方法，将总体感官评分分配给正在调查的VCO样本，当（ a + c）分别小于和大于100。
  • •确定了多边形的坐标，并开发了一个新的方程来评估去模糊分数，并已通过相似性验证值分析。
  • •这种新的模糊逻辑分析方法可以快速，可靠地对样本进行排名，而无需传统相似度值方法的任何复杂性。

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