2 publications

• Published Subscription 27 Nov 2013

  Measures of Location for Imprecise Data

  By V. S. Vaidyanathan

  Abstract: AbstractStatistical analysis is usually done on data sets that contain precise information. However, data obtained may not be precise always. This may be due to vagueness in the process of measurement itself or due to the values being expressed in linguistic terms. Data that are not precise are referred to as imprecise data or fuzzy data. Developing statistical measures for imprecise data has been pursued by researchers during the past …

  Published in Research & Reviews : Journal of Statistics · Vol. 2, Issue 3, 2013 · pp. 35–40 Read article →

• Published Subscription 10 Mar 2013

  Job Sequencing with Fuzzy Processing Times using Credibility Theory

  By V. S. Vaidyanathan

  Abstract: AbstractIn this paper, a new algorithm to find an optimal sequence of ‘ n ’ jobs that has to be processed through ‘m ’ machines is developed by treating the processing times of jobs on the machines as fuzzy (imprecise) variables. The algorithm is similar to that of Johnson (1954) which considers the processing times as precise in nature. The proposed algorithm makes use of the concepts of ‘Credibility Theory’ …

  Published in Research & Reviews : Journal of Statistics · Vol. 2, Issue 1, 2013 · pp. 14–19 Read article →