Measuring the Complex Construct of Macroergonomic Compatibility: A Manufacturing System Case Study

Table 3

Correspondence among linguistic terms, fuzzy numbers, and crisp numbers for the MCQ-WV and MCQ-EV scales.

Data	Type	Fuzzy number	Crisp number
MCQ-WV
Totally disagree	Punctuation	(0, 0, 0.4)	0.13
Strongly disagree	Punctuation	(0.2, 0.4, 0.6)	0.4
Neutral	Punctuation	(0.4, 0.6, 0.8)	0.6
Strongly agree	Punctuation	(0.6, 0.8, 1)	0.8
Totally agree	Punctuation	(0.8, 1, 1)	0.93
MCQ-EV
Very low	Weighting	(0, 0, 0.3)	0.1
Low	Weighting	(0, 0.25, 0.5)	0.25
Medium	Weighting	(0.3, 0.5, 0.7)	0.5
High	Weighting	(0.5, 0.75, 1)	0.75
Very high	Weighting	(0.7, 1, 1)	0.9