A Model for Project Selecting with Limited Resources in Data Envelopment Analysis with Input and Output Fuzzy

In Evaluating Performance, Selecting a Subset from a Set of Solutions with Limited Resources is Essential. If There Is More Than One Input and Output, the Data Rnvelopment Analysis Optimization Models Are Evaluated and Performance Measurement Based on the Weighted Output Is Divided Weighted Input. In This Research, Two Models of Optimization with Limited Resources Present from Data Envelopment Analysis Models. Each Project Produces a Set of Outputs Using Different Input Sources. In This Method, a Subset of Projects Is Selected that Can be Applies to the Resource Constraints as a Composite Project. These Composite Projects Are Defined and Evaluated by Available Projects and with Production Technology in Data Envelopment Analysis. In Fact, Evaluation and Selection Are Combined in the New Model, which is Done by Inserting a Data Envelopment Analysis Model into a Binary-Hybrid Linear Programming. The Second Model, Involves Choosing a Set of the Best or Most Preferred Places for New Facilities. Again, the Second Proposed Model Also Relates to Choices with Limited Resources.