@article{(Open Science Index):https://publications.waset.org/pdf/9999243,
	  title     = {Fuzzy Multi-Component DEA with Shared and Undesirable Fuzzy Resources},
	  author    = {Jolly Puri and  Shiv Prasad Yadav},
	  country	= {},
	  institution	= {},
	  abstract     = {Multi-component data envelopment analysis (MC-DEA) is a popular technique for measuring aggregate performance of the decision making units (DMUs) along with their components. However, the conventional MC-DEA is limited to crisp input and output data which may not always be available in exact form. In real life problems, data may be imprecise or fuzzy. Therefore, in this paper, we propose (i) a fuzzy MC-DEA (FMC-DEA) model in which shared and undesirable fuzzy resources are incorporated, (ii) the proposed FMC-DEA model is transformed into a pair of crisp models using α cut approach, (iii) fuzzy aggregate performance of a DMU and fuzzy efficiencies of components are defined to be fuzzy numbers, and (iv) a numerical example is illustrated to validate the proposed approach.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {8},
	  number    = {9},
	  year      = {2014},
	  pages     = {1207 - 1215},
	  ee        = {https://publications.waset.org/pdf/9999243},
	  url   	= {https://publications.waset.org/vol/93},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 93, 2014},
	}