Indeterminate Likert scale feedback based on neutrosophy its distance measures and clustering algorithm is popular PDF and ePub book, written by Ilanthenral Kandasamy in 2020-10-01, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Indeterminate Likert scale feedback based on neutrosophy its distance measures and clustering algorithm can be Read Online from any device for your convenience.
Indeterminate Likert scale feedback based on neutrosophy its distance measures and clustering algorithm Book PDF Summary
Likert scale is the most widely used psychometric scale for obtaining feedback. The major disadvantage of Likert scale is information distortion and information loss problem that arise due to its ordinal nature and closed format. Real-world responses are mostly inconsistent, imprecise and indeterminate depending on the customers’ emotions. To capture the responses realistically, the concept of neutrosophy (study of neutralities and indeterminacy) is used. Indeterminate Likert scale based on neutrosophy is introduced in this paper. Clustering according to customer feedback is an effectiveway of classifying customers and targeting them accordingly. Clustering algorithm for feedback obtained using indeterminate Likert scaling is proposed in this paper. While dealing real-world scenarios, indeterminate Likert scaling is better in capturing the responses accurately.
Detail Book of Indeterminate Likert scale feedback based on neutrosophy its distance measures and clustering algorithm PDF
- Author : Ilanthenral Kandasamy
- Release : 01 October 2020
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Mathematics
- Total Page : 10 pages
- Language : English
- PDF File Size : 13,7 Mb
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