Selection of IoT service provider for sustainable transport using q-rung orthopair fuzzy CRADIS and unknown weights

R Krishankumar, F Ecer - Applied Soft Computing, 2023 - Elsevier
Abstract Internet-of-things (IoT) is a fast-growing technology and sustainable transportation
is a crucial application area of IoTs. Selecting an appropriate IoT service provider (IoTSP) is …

An integrated decision-making approach with golden cut and bipolar q-ROFSs to renewable energy storage investments

X Xu, S Yüksel, H Dinçer - International Journal of Fuzzy Systems, 2023 - Springer
A new hybrid fuzzy decision-making model is created in this study to evaluate significant
factors of renewable energy storage investments and select the appropriate energy types …

A hybrid decision making approach for new service development process of renewable energy investment

L Martínez, H Dinçer, S Yüksel - Applied Soft Computing, 2023 - Elsevier
This study aims at evaluating new service development (NSD) process of renewable energy
investments. A novel fuzzy hybrid multi-criteria decision-making model is then introduced …

[HTML][HTML] Robotic sensor based on score and accuracy values in q-rung complex diophatine neutrosophic normal set with an aggregation operation

M Palanikumar, N Kausar, H Garg, S Kadry… - Alexandria Engineering …, 2023 - Elsevier
The multiple-attribute decision-making (MADM) problem is resolved through the q-rung
complex diophantine neutrosophic normal set (q-rung CDNNS). An important way to …

Variable precision multi-granulation composite rough sets with multi-decision and their applications to medical diagnosis

J Ye, B Sun, J Zhan, X Chu - Information Sciences, 2022 - Elsevier
Rough set theory has become an effective tool to address uncertain decision-making
problems. Nevertheless, existing rough set-based decision-making methods cannot …

A regret theory-based multi-granularity three-way decision model with incomplete T-spherical fuzzy information and its application in forest fire management

C Zhang, J Zhang, W Li, W Pedrycz, D Li - Applied Soft Computing, 2023 - Elsevier
Forest fires are an abrupt and highly destructive meteorological disaster that can occur in all
regions of the world, resulting in significant ecological, economic and social losses …

A normal cloud model-based decision making method under multi-granular probabilistic linguistic environment for evaluating of wetland ecosystem services

L Weng, J Lin, Z Lin, Z Xu - Expert Systems with Applications, 2023 - Elsevier
An accurate understanding of wetlands and the various functions they provide to humans
through the evaluation of wetland ecosystem services values (WESVs) is essential for the …

Incomplete intuitionistic fuzzy behavioral group decision-making based on multigranulation probabilistic rough sets and MULTIMOORA for water quality inspection

W Bai, C Zhang, Y Zhai… - Journal of Intelligent & …, 2023 - content.iospress.com
Water quality inspection (WQI) is one of the primary ways to ensure the safe utilization of
water resources, and complicated data modeling, fusion and analysis play a significant role …

A novel diversified attribute group decision-making method over multi-source heterogeneous fuzzy decision systems with its application to gout diagnosis

J Ye, B Sun, X Chu, J Zhan, Q Bao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Group decision making (GDM) is a useful uncertain decision theory and tool. With the
evolution of time, GDM problems become more and more complex. In reality, there are …

A Multi-attribute Decision-Making Method with Complex q-Rung Orthopair Fuzzy Soft Information Based on Einstein Geometric Aggregation Operators

X Wu, Z Ali, T Mahmood, P Liu - International Journal of Fuzzy Systems, 2023 - Springer
Complex a-rung orthopair fuzzy soft (CQROFS) set is very famous and effective tool for
depicting complex uncertain information because it is the combination of the complex q-rung …