Abstract
The pioneer paradigm of q-rung orthopair fuzzy sets was investigated by Yager in 2013, which extended the domains of both membership and non-membership values. Soft expert set theory is free from inherent complexity and a nice mathematical tool for handling uncertainties and vagueness. This paper is devoted to present a novel hybrid model, namely interval-valued q-rung orthopair fuzzy soft expert sets (IV\(^q\)ROFSE sets), which is a natural combination of soft expert sets and interval-valued q-rung orthopair fuzzy sets. Moreover, some necessary properties and operations on IV\(^q\)ROFSE sets are investigated with illustrative numerical examples. To show the validity and reliability of the initiated decision-making approach, a group decision-making problem for the ranking of modern renewable energy sources is explored. An algorithm is developed to demonstrate the procedure of the initiated theory. At last, a comparison analysis of the designed model with an existing interval-valued q-rung orthopair fuzzy set model is provided.
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Ali, G., Akram, M. (2023). Group Decision-Making Analysis Under Interval-Valued q-rung Orthopair Fuzzy Soft Expert Sets. In: Sahoo, L., Senapati, T., Yager, R.R. (eds) Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain. Studies in Fuzziness and Soft Computing, vol 420. Springer, Singapore. https://doi.org/10.1007/978-981-19-4929-6_8
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