Add to ORKGThis paper discusses an evaluation method of fuzzy numbers as mean values and measurement of fuzzi-ness defined by fuzzy measures, and the presented method is also applicable to fuzzy random variables and fuzzy stochastic processes in decision making modeling. We compare the measurement of fuzziness and the variance as criteria to measure uncertainty
The good measurement practice requires that the measurement uncertainty is estimated and provided to...
The good measurement practice requires that the measurement uncertainty is estimated and provided to...
The good measurement practice requires that the measurement uncertainty is estimated and provided to...
The theory of fuzzy sets allows to analyze insufficiently precise, accurate, complete phenomenawhich...
The theory of fuzzy sets allows to analyze insufficiently precise, accurate, complete phenomena whic...
This paper deals with the problem of evaluating a fuzzy quantity. We call fuzzy quantity any non-nor...
This paper deals with the problem of evaluating a fuzzy quantity. We call fuzzy quantity any non-nor...
Generally, the final result of a measurement process is used to make decisions according to the resu...
Generally, the final result of a measurement process is used to make decisions according to the resu...
Generally, the final result of a measurement process is used to make decisions according to the resu...
Generally, the final result of a measurement process is used to make decisions according to the resu...
Generally, the final result of a measurement process is used to make decisions according to the resu...
This paper deals with the problem of evaluating a fuzzy quantity. Here we define “fuzzy quantity” an...
The good measurement practice requires that the measurement uncertainty is estimated and provided to...
The good measurement practice requires that the measurement uncertainty is estimated and provided to...
The good measurement practice requires that the measurement uncertainty is estimated and provided to...
The good measurement practice requires that the measurement uncertainty is estimated and provided to...
The good measurement practice requires that the measurement uncertainty is estimated and provided to...
The theory of fuzzy sets allows to analyze insufficiently precise, accurate, complete phenomenawhich...
The theory of fuzzy sets allows to analyze insufficiently precise, accurate, complete phenomena whic...
This paper deals with the problem of evaluating a fuzzy quantity. We call fuzzy quantity any non-nor...
This paper deals with the problem of evaluating a fuzzy quantity. We call fuzzy quantity any non-nor...
Generally, the final result of a measurement process is used to make decisions according to the resu...
Generally, the final result of a measurement process is used to make decisions according to the resu...
Generally, the final result of a measurement process is used to make decisions according to the resu...
Generally, the final result of a measurement process is used to make decisions according to the resu...
Generally, the final result of a measurement process is used to make decisions according to the resu...
This paper deals with the problem of evaluating a fuzzy quantity. Here we define “fuzzy quantity” an...
The good measurement practice requires that the measurement uncertainty is estimated and provided to...
The good measurement practice requires that the measurement uncertainty is estimated and provided to...
The good measurement practice requires that the measurement uncertainty is estimated and provided to...
The good measurement practice requires that the measurement uncertainty is estimated and provided to...
The good measurement practice requires that the measurement uncertainty is estimated and provided to...