A Study of an EOQ Model Under Cloudy Fuzzy Demand Rate

  • Snigdha Karmakar
  • Sujit Kumar De
  • A. Goswami
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 834)


This paper deals with a new fuzzy number namely, cloudy fuzzy number and its new defuzzification method for a classical economic order quantity (EOQ) inventory management problem. In fuzzy system, the measures of ambiguity depend upon the area of applicability and the observations of experimenters. The lack of insight over the set consideration causes the invention of new fuzzy set “cloudy fuzzy set”. The traditional assumptions over fuzziness were fixed over time, but in this study we see fuzziness can be removed as time progresses. Here the crisp model is solved first then taking the demand rate as general fuzzy as well as cloudy fuzzy number we have solved the problem under usual Yager’s index method and extension of Yager’s index method respectively. With the help of numerical example we have compared the objective values for all cases and the implication of the cloudy fuzzy number has been discussed exclusively. Graphical illustrations, sensitivity analysis are given for better justification of the model. Finally, a conclusion is made.


Inventory Cloudy fuzzy number Cloud index Extension of Yager’s index method Optimization 


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© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of MathematicsIIT KharagpurKharagpurIndia
  2. 2.Department of MathematicsMidnapore CollegeWest MidnaporeIndia

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