Many problems in scientific investigation generate nonprecise data incorporating nonstatistical uncertainty. A nonprecise observation of a quantitative variable can be described by a special type of membership function defined on the set of all real numbers called a fuzzy number or a fuzzy interval. A methodology for constructing control charts is proposed when the quality characteristics are v...

In any decision-making process, imprecision is a significant issue. To deal with the ambiguous environment of collective decision-making, various tools and approaches have been created. Fuzzy set theory one most recent for coping imprecision. The Transportation Problem (FTP) well-known network planned linear programming problem which exists in variety situations has received lot attention recen...

In this paper, with the use of newly defined class up and down log–convex fuzzy-number valued mappings, we offer a few new original mappings by applying some mild restrictions over definition mapping. With these are able to develop partners Fejér-type inequalities for log–convexity, which improve upon certain previously established findings. The discussion also includes mappings’ characteristic...

In real life, there will be a lot of uncertainty problems, one which is due to the vagueness concept things, that is, it difficult determine whether an object conforms this concept. This situation widely exists in some states, phenomena, parameters and interrelationships between things. For such uncertain events with heavy subjective influencing factors incomplete data, suitable use fuzzy metho...

abstract. in the case of process capability index several methods are identified. in this paper ,a new process capability index using fuzzy number and fuzzy probability concept, in order to remove the weakness of other famous method is suggested. after introduction of fuzzy index in univariate case, fuzzy multivariate process capability index is investigated. finally, this new method is compare...