In this paper, we propose a clustering algorithm meant for data sets consisting of imprecise or fuzzy information. The proposed algorithm is an analogue of Iterative Self Organizing Data Analysis Technique (ISODATA) algorithm meant for crisp data sets. The algorithm uses measures related to...

Making heme proteins green : designing enzymes for bioremediation and environmental sustainablity / Mark F. Reynolds, Daniel Barry, and Sarah Pogash -- Organic farming with residual microbial consortia and its potential in sustainable agriculture production / Suhana Sultana, Tamanna Sultana,...

Abstract Frequent wastage or exit of personnel are common in many administrative and production oriented organizations. Once the accumulated number of exits from the organization reaches a certain threshold level, it could be viewed as a “breakdown point”. The time to attain breakdown point...

In this note, a fuzzy inventory model with multiple items is considered. Economic order quantities (EOQs) are developed for these items. The costs involved in inventory are always assumed to be exact, otherwise called as crisp or hard, but in practice these costs are not exact or precise but...

This paper considers a two commodity continuous review inventory system. The demand points for each commodity are assumed to form Poisson processes. It is further assumed that the demand for the first commodity require the one unit of second commodity in addition to the first commodity with...

The steady-state availability of a two-component system in series and parallel subject to individual failures (I-failures) and common-cause shock (CCS) failures is studied from a Bayesian viewpoint with different types of priors assumed for the unknown parameters in the system. Monte Carlo...