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Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China

Author

Listed:
  • Junchang Li

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Jiantong Zhang

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Ye Ding

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

Abstract

The mobile medical application (M-medical APP) can optimize medical service process and reduce health management costs for users, which has become an important complementary form of traditional medical services. To assist users including patients choose the ideal M-medical APP, we proposed a novel multiple attribute group decision making algorithm based on group compromise framework, which need not determine the weight of decision-maker. The algorithm utilized an uncertain multiplicative linguistic variable to measure the individual original preference to express the real evaluation information as much as possible. The attribute weight was calculated by maximizing the differences among alternatives. It determined the individual alternatives ranking according to the net flow of each alternative. By solved the 0–1 optimal model with the objective of minimizing the differences between individual ranking, the ultimate group compromise ranking was obtained. Then we took 10 well-known M-medical APPs in Chinese as an example, we summarized service categories provided for users and constructed the assessment system consisting of 8 indexes considering the service quality users are concerned with. Finally, the effectiveness and superiority of the proposed method and the consistency of ranking results were verified, through comparing the group ranking results of 3 similar algorithms. The experiments show that group compromise ranking is sensitive to attribute weight.

Suggested Citation

  • Junchang Li & Jiantong Zhang & Ye Ding, 2020. "Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China," IJERPH, MDPI, vol. 17(8), pages 1-28, April.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:8:p:2858-:d:348399
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    References listed on IDEAS

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    1. Govindan, Kannan & Kadziński, Miłosz & Sivakumar, R., 2017. "Application of a novel PROMETHEE-based method for construction of a group compromise ranking to prioritization of green suppliers in food supply chain," Omega, Elsevier, vol. 71(C), pages 129-145.
    2. Rajak, Manindra & Shaw, Krishnendu, 2019. "Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS," Technology in Society, Elsevier, vol. 59(C).
    3. Dongxiao Gu & Changyong Liang & Kyung-Sun Kim & Changhui Yang & Wenjuan Cheng & Jun Wang, 2015. "Which is More Reliable, Expert Experience or Information Itself? Weight Scheme of Complex Cases for Health Management Decision Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(03), pages 597-620.
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