@article{ART003397438},
author={Yujin Kim and Hyung-Seok Lee},
title={Fuzzy AHP-based Weight Analysis of Selection Attributes for ChatGPT and Gemini},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2026},
volume={31},
number={10},
pages={193-206}
TY - JOUR
AU - Yujin Kim
AU - Hyung-Seok Lee
TI - Fuzzy AHP-based Weight Analysis of Selection Attributes for ChatGPT and Gemini
JO - Journal of The Korea Society of Computer and Information
PY - 2026
VL - 31
IS - 10
PB - The Korean Society Of Computer And Information
SP - 193
EP - 206
SN - 1598-849X
AB - Extending prior research on the selection attributes of generative AI services, this study develops a two-level hierarchical model comprising four upper-level dimensions-functional attributes, experiential attributes, adaptive attributes, and brand image-and eight lower-level criteria, namely information accuracy, explainability, enjoyment, anthropomorphism, personalization, creativity, corporate reputation, and corporate innovativeness, to better understand the complexity of users' choice environments arising from the increasing diversity of generative AI services. To account for the imprecision inherent in human judgment, Fuzzy AHP was employed to derive the priority weights, and a conventional AHP analysis on the same data yielded nearly identical weights, thereby confirming the robustness of the Fuzzy AHP results. The analysis confirms that information accuracy emerges as the highest-priority attribute of generative AI services, consistent with prior findings. An evaluation of the two alternatives, ChatGPT and Gemini, showed that Gemini held a slight advantage over ChatGPT in terms of overall score. These findings provide empirical guidelines for service differentiation and strategic resource allocation in the design of future AI services.
KW - Generative AI service;Analytic Hierarchy Process;Fuzzy AHP;Priority weights
DO -
UR -
ER -
Yujin Kim and Hyung-Seok Lee. (2026). Fuzzy AHP-based Weight Analysis of Selection Attributes for ChatGPT and Gemini. Journal of The Korea Society of Computer and Information, 31(10), 193-206.
Yujin Kim and Hyung-Seok Lee. 2026, "Fuzzy AHP-based Weight Analysis of Selection Attributes for ChatGPT and Gemini", Journal of The Korea Society of Computer and Information, vol.31, no.10 pp.193-206.
Yujin Kim, Hyung-Seok Lee "Fuzzy AHP-based Weight Analysis of Selection Attributes for ChatGPT and Gemini" Journal of The Korea Society of Computer and Information 31.10 pp.193-206 (2026) : 193.
Yujin Kim, Hyung-Seok Lee. Fuzzy AHP-based Weight Analysis of Selection Attributes for ChatGPT and Gemini. 2026; 31(10), 193-206.
Yujin Kim and Hyung-Seok Lee. "Fuzzy AHP-based Weight Analysis of Selection Attributes for ChatGPT and Gemini" Journal of The Korea Society of Computer and Information 31, no.10 (2026) : 193-206.
Yujin Kim; Hyung-Seok Lee. Fuzzy AHP-based Weight Analysis of Selection Attributes for ChatGPT and Gemini. Journal of The Korea Society of Computer and Information, 31(10), 193-206.
Yujin Kim; Hyung-Seok Lee. Fuzzy AHP-based Weight Analysis of Selection Attributes for ChatGPT and Gemini. Journal of The Korea Society of Computer and Information. 2026; 31(10) 193-206.
Yujin Kim, Hyung-Seok Lee. Fuzzy AHP-based Weight Analysis of Selection Attributes for ChatGPT and Gemini. 2026; 31(10), 193-206.
Yujin Kim and Hyung-Seok Lee. "Fuzzy AHP-based Weight Analysis of Selection Attributes for ChatGPT and Gemini" Journal of The Korea Society of Computer and Information 31, no.10 (2026) : 193-206.
