@article{(Open Science Index):https://publications.waset.org/pdf/3653,
	  title     = {Evaluating New Service Development Performance Based on Multigranular Linguistic Assessment},
	  author    = {Wen-Pai Wang and  Mei-Ching Tang},
	  country	= {},
	  institution	= {},
	  abstract     = {The service sector continues to grow and the percentage
of GDP accounted for by service industries keeps increasing. The
growth and importance of service to an economy is not just a
phenomenon of advanced economies, service is now a majority of the
world gross domestic products. However, the performance evaluation
process of new service development problems generally involves
uncertain and imprecise data. This paper presents a 2-tuple fuzzy
linguistic computing approach to dealing with heterogeneous
information and information loss problems while the processes of
subjective evaluation integration. The proposed method based on group
decision-making scenario to assist business managers in measuring
performance of new service development manipulates the
heterogeneity integration processes and avoids the information loss
effectively.},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {6},
	  number    = {7},
	  year      = {2012},
	  pages     = {1313 - 1318},
	  ee        = {https://publications.waset.org/pdf/3653},
	  url   	= {https://publications.waset.org/vol/67},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 67, 2012},
	}