In this paper we have introduced the concept of intuition-istic fuzzy soft matrix and defined different types of matrices along with some new operations in the parlance of intuitionistic fuzzy soft set theory. Then based on some of these new matrix operations a new efficient methodology named as IF SM-Algorithm has been developed to solve in-tuitionistic… (More)
This paper develops a single wholesaler and multi retailers mixture inventory distribution model for a single item involving controllable lead-time with backorder and lost sales. The retailers purchase their items from the wholesaler in lots at some intervals throughout the year to meet the customers' demand. Not to loose the demands, the retailers offer a… (More)
The purpose of this paper is to introduce different types of intuitionistic fuzzy soft matrices along with some new operations in the parlance of intuitionistic fuzzy soft set theory. Then based on some of these new matrix operations a new efficient methodology has been developed to solve intuitionistic fuzzy soft set based real life decision making… (More)
In this paper, realistic multi-item inventory models without shortages for deteriorating items with stock dependent demand have been formulated in Intuitionistic fuzzy environment. Here, total average cost, warehouse space are assumed to be imprecise in nature. The objectives of maximizing the average profit and minimizing the average deterioration cost are… (More)
The purpose of this paper is to prove some properties (i.e. associative, distributive) of Fuzzy Soft Sets and Intuitionistic Fuzzy Soft Sets with respect to extended union, extended intersection and restricted union, restricted intersection over the common universe. These properties are verified by appropriate examples.
In this paper, production-inventory models for a deteriorating item in a single vendor-buyer system has been developed with constant production and demand rate. Shortages at the buyer (when it is allowed) depends on time. The models have been formulated as cost minimization problem via both integrated and non-integrated approaches and solved using genetic… (More)