A Nonstandard Neutrosophic Framework for Evaluating Intelligent Clothing Design Effectiveness under Multisource Perceptual and Functional Uncertainty

Abstract

-Intelligent clothing systems are becoming increasingly embedded with 
responsive technologies to adapt to the user's environment, physiological state, and 
comfort preferences. However, evaluating the true effectiveness of such designs remains 
a fundamental challenge due to the ambiguity, subjectivity, and contradiction present in 
user feedback and sensor data. Traditional crisp, fuzzy, or even standard neutrosophic 
methods fail to model the subtle variations and uncertainties that exist at the threshold of 
user perception and device performance. This paper introduces the first real-world 
application of Nonstandard Neutrosophic Logic-a hyperrealvalued logic system that 
enables the representation of effectiveness not just as a score or interval, but as a 
structured triplet (