Lean manufacturing has become an important avenue for both academics and practitioners in recent times. Many organizations around the world have attempted to implement it but the lack of a clear understanding of lean performance and its measurement will contribute to the failure of lean practices. There are many papers, articles, and reports that address lean techniques and tools, but few studi...

Aggregation operators for linguistic variables usually assume a uniform and symmetrical distribution of the linguistic terms that define the variable. This paper defines the Induced Unbalanced Linguistic Ordered Weighted Average (IULOWA). This aggregator takes into account the fuzzy membership functions of the terms during the aggregation operations of the pairs of terms. There is no restrictio...

Consider sets X and Y each with associated membership functions. Further suppose that there is a map f : X → Y . A membership may be induced onY from the membership ofX calculated using the extension principle, and the two memberships on Y may be combined to give an overall membership. The point with the highest membership in X can be determined directly or by back mapping the value with the hi...

In reliability, quality control and risk analysis, fuzzy methodologies are more and more involved and inevitably introduced difficulties in seeking fuzzy functional relationship between factors. In this paper, we propose a scalar variable formation of fuzzy regression model based on the credibility measure theoretical foundation. It is expecting our scalar variable treatments on fuzzy regressio...

In this paper, a new active rule detection algorithm is proposed which is efficiently implemented in dedicated fuzzy processors. Here, its advantages are analytically attested. A novel realization architecture is proposed that has higher performance and uses lower hardware resources in comparison to the other reported architectures. The structure of the proposed active rule detection unit is sc...

This paper deals with Zadeh’s compositional rule of inference [12] under triangular norms: IF X is P AND X and Y have relation R, THEN Y is Q, where P and Q are fuzzy sets of the real line IR, R is a fuzzy relation on IR and the conclusion Q is defined via sup-T composition of P and R: μQ(y) = sup x∈IR T (μP (x), μR(x, y)), y ∈ IR. It is shown that (i) when the triangular norm T and the members...

In the classical approach to probability theory, an event, A, is defined as a member of a o-field,,d, of subsets of a sample space ft. Thus, ifP is a normed measure over a measurable space (a,_~#), the probabibty of A is defined as P(A), the measure of.4, and is a number in the interval [0, I]. There are many real-world problems in which one or more of the basic assumptions which are implicit i...

Fuzzy classification has become of great interest because of its ability to utilize simple linguistically interpretable rules and has overcome the limitations of symbolic or crisp rule based classifiers. This paper introduces an extension to fuzzy classifier: a neutrosophic classifier, which would utilize neutrosophic logic for its working. Neutrosophic logic is a generalized logic that is capa...