TY - GEN
T1 - Study of Market Scale and Share Estimation Methodology on Effective Feasibility Analysis of Government R and D Program Related to Information Technology
AU - Cho, Jaehyuk
AU - Kim, Bonghoon
AU - Choi, Changho
AU - Jeong, Hyonam
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/4/19
Y1 - 2016/4/19
N2 - Standardizing the various benefits and performance features of the different government R and D programs is difficult. Associated Research results and benefit distinctions from preliminary feasibility data were used to draw benefit estimation hindrance factors. Analytic Hierarchy Process is used to identify the relative importance rank of benefit estimation hindrance factors. If Independence between benefit estimation hindrance factors fails to satisfy the evaluation criteria then, a model based on the fuzzy measure is applied. This is for drawing optimal evaluation results, In order to know the correlation between benefit distinctions and benefit estimation hindrance factors ordered digit model is utilized. In this paper, the R and D program related to Information Technology was classified into four categories. Finally a methodology for extracting a relevant market scale and a market share data is proposed.
AB - Standardizing the various benefits and performance features of the different government R and D programs is difficult. Associated Research results and benefit distinctions from preliminary feasibility data were used to draw benefit estimation hindrance factors. Analytic Hierarchy Process is used to identify the relative importance rank of benefit estimation hindrance factors. If Independence between benefit estimation hindrance factors fails to satisfy the evaluation criteria then, a model based on the fuzzy measure is applied. This is for drawing optimal evaluation results, In order to know the correlation between benefit distinctions and benefit estimation hindrance factors ordered digit model is utilized. In this paper, the R and D program related to Information Technology was classified into four categories. Finally a methodology for extracting a relevant market scale and a market share data is proposed.
KW - Analytic Hierarchy Process
KW - Big Data
KW - Fuzzy Measure
KW - Market Scale and Share Estimation
KW - Preliminary Feasibility Analysis
UR - https://www.scopus.com/pages/publications/84968654891
U2 - 10.1109/PlatCon.2016.7456826
DO - 10.1109/PlatCon.2016.7456826
M3 - Conference paper
AN - SCOPUS:84968654891
T3 - 2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings
BT - 2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Platform Technology and Service, PlatCon 2016
Y2 - 15 February 2016 through 17 February 2016
ER -