Fuzzy Inventory Models

2009 ◽  
pp. 173-198 ◽  
Author(s):  
Alfred Guiffrida
Keyword(s):  
Inventory Models ◽  
Fuzzy Inventory

scholarly journals Analyzing The Concept Of Graded K-Preference Integration Representation Method

2021 ◽  
Vol 12 (5) ◽  
pp. 866-869
Author(s):  
Anant Tiwari, Dr. Amit Kumar Vats
Keyword(s):  
Integration Method ◽  
Decision Making Process ◽  
Linguistic Variables ◽  
Optimal Solutions ◽  
Order Quantity ◽  
Inventory Models ◽  
Fuzzy Environment ◽  
Representation Method ◽  
Fuzzy Order ◽  
Fuzzy Inventory

Generally, the fuzzy set concept could be used to deal with the problems with the qualities of ambiguity as well as vagueness. In the decision making process, the reference comparisons for criteria & options tend to be more appropriate to make use of the linguistic variables rather than crisp values in some instances. Meanwhile, the GMIR technique is utilized for the constrained trouble construction to derive the weights of options & criteria, which accomplishes the extension of fuzzy environment. Here in this paper we will study about some basic terms related to K-preference Graded Integration method. We will discuss the fuzzy inventory models under decision maker’s preference (k-preference), and find the optimal solutions of these models, the optimal crisp order quantity or the optimal fuzzy order quantity.

Fuzzy inventory models: A comprehensive review

2017 ◽  
Vol 55 ◽  
pp. 588-621 ◽  
Author(s):  
Ehsan Shekarian ◽  
Nima Kazemi ◽  
Salwa Hanim Abdul-Rashid ◽  
Ezutah Udoncy Olugu
Keyword(s):  
Inventory Models ◽  
Comprehensive Review ◽  
Fuzzy Inventory
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