A two-stage fuzzy least squares procedure for fitting


240 / 125

Authors

  • Rama Krishna Singh Indian Agricultural Statistics Research Institute, New Delhi-110 012
  • PRAJNESHU , Indian Agricultural Statistics Research Institute, New Delhi-110 012
  • HIMADRI GHOSH Indian Agricultural Statistics Research Institute, New Delhi-110 012

Abstract

In this paper, fitting of linearized von Bertalanffy growth model is revisited when response variabe is reported in intervals

corresponding to various values of explanatory variable. Earlier, Tanka’s linear programming methodology was used to

handle this problem. However, this approach has several limitations, which are highlighted. Accordingly, a more efficient

two stage procedure based on fuzzy least squares, is employed. The methodology is thoroughly discussed and, for its application,

relevant computer programs are developed in “Nonlinear programming solver LINGO, Version 8†software package. Finally,

an illustration to pearl oyster age-length data is discussed.

Downloads

Download data is not yet available.

Downloads

Issue

Vol. 55 No. 3 (2008)

Section

Articles

License

The copyright of the articles published in Indian Journal of Fisheries vests with the Indian Council of Agricultural Research, who has the right to enter into any agreement with any organization in India or abroad engaged in reprography, photocopying, storage and dissemination of information contained in these journals. The Council has no objection in using the material, provided the information is being utilized for academic purpose but not for commercial use. Due credit line should be given to the ICAR where information will be utilized.

How to Cite

Singh, R. K., , P., & GHOSH, H. (2011). A two-stage fuzzy least squares procedure for fitting. Indian Journal of Fisheries, 55(3), 235-240. https://epubs.icar.org.in/index.php/IJF/article/view/6846