امید تهرانیان - Department of Industrial Engineering, Kharazmi University, Tehran, ‎Iran‎.
- میرزازاده - Department of Industrial Engineering, Kharazmi University Tehran, Iran.
بهمن نادری - Department of Industrial Engineering, Kharazmi University, Tehran, ‎Iran.‎

This paper presents a new inventory model for deteriorating items, allowable shortages, and stochastic inflationary conditions, considering a belief-rule-base inventory control (BRB-IC) method. This is a new insight in comparison with the previous research, which considers a belief-rule-based inventory control under nonstationary demand. The Genetic Algorithm and exact methods have been considered for minimizing the objective function. The numerical example and a sensitivity analysis provided to illustrate the theoretical results.

Inventory, Nonstationary Demand, Uncertainty, Evidential Reasoning, Belief Rule ‎Base