Paper: 354255
Title: A New Validity Measure for Heuristic Possibilistic Clustering

-------------------- review 1 --------------------
---------------------------- REVIEW 1 --------------------------
PAPER: 18
TITLE: A New Validity Measure for Heuristic Possibilistic Clustering
 
OVERALL RATING: 0 (borderline paper) 
REVIEWER'S CONFIDENCE: 3 (high) 
Relevance to this conference: 4 (good)
Originality/Uniqueness: 3 (fair)
English readability: 3 (fair)
Paper organization/presentation: 3 (fair)
Has good survey been done?: 3 (fair)


The new validity measure seems interesting. However, just one dataset cannot draw any conclusion. You should use at least 3-5 datasets to verify the proposed method.

There are some minor grammatical errors. Please polish the English if the paper is accepted. 



-------------------- review 2 --------------------
---------------------------- REVIEW 2 --------------------------
PAPER: 18
TITLE: A New Validity Measure for Heuristic Possibilistic Clustering
 
OVERALL RATING: 1 (weak accept) 
REVIEWER'S CONFIDENCE: 2 (medium) 
Relevance to this conference: 3 (fair)
Originality/Uniqueness: 3 (fair)
English readability: 3 (fair)
Paper organization/presentation: 3 (fair)
Has good survey been done?: 3 (fair)


In this paper, a validity measure for the heuristic D-AFC(c) algorithm of possibilistic clustering is proposed. However, in the numerical experiment only one example is given, which is not enough to clarify the problem. In addition, the English writing needs to be more correct and improved.