Fuzzy analytic hierarchy process model for multi-criteria analysis of internet of things

Abstract

Purpose

Nowadays, there are various internet of things (IoT) applications covering many aspects of daily life. Many people own numerous smart objects that use these IoT applications. The purpose of this study is determining suitable IoT applications for each user which is a relevant challenge because it is amulti-criteria decision-making.

Design/methodology/approach

To solve this challenge, the authors propose fuzzy analytical hierarchy process model. Based on the opinions of IoT experts, the model and the hierarchy were designed to assess and compare three crucial IoT criteria, namely, object, application and providers.

Findings

The results indicated that the application criterion is far more relevant for users other than the two criteria. The findings of this study offer insights into more effective decision-making for IoT application developers and providers.

Originality/value

This study contributes to the IoT through proposing a fuzzy model to classify IoT applications. The findings provide meaningful implications for IoT application providers.

Citation

Mashal, I. and Alsaryrah, O. (2020), "Fuzzy analytic hierarchy process model for multi-criteria analysis of internet of things", Kybernetes, Vol. 49 No. 10, pp. 2509-2520. https://doi.org/10.1108/K-11-2018-0592