As an essential part of modern intelligent decision-making science, multi-attribute decision-making problems can effectively select and rank all candidate schemes under multiple indicators. Because of the complexity of the real environment and the uncertainty of the decision-making problem, interval numbers are often used to represent the evaluation information of the object. The existing methods of the multi-attribute decision-making problems rarely use the object set but give the decision results by selection or ranking, which often have strong subjectivity. We propose a ranking method from an acceleration viewpoint based on the three-way decision model to solve the interval-valued multi-attribute decision-making problem. A distance measure of two objects is a measure that describes the relationship between objects. Therefore, the fuzzy dominance distance is introduced to express order relations among objects. First, we present a method to compare any two interval numbers, which converts interval numbers into connection numbers according to the characteristics of interval numbers in multi-attribute decision-making problems. Second, the three-way decision theory is introduced to divide the object set into high, medium, and low dominance regions for the speed and rationality of decision-making. Finally, the multi-attribute decision-making problems can be simplified into the problem of selection in three regions by ranking the objects of the selected region. Unlike traditional methods, the experiments demonstrate that our proposed method has the lowest cost. Our method is shown to be efficient and can obtain comparable results.

More from our Archive

• DOI: 10.3390/app13148275 2023

  A Brief Review of Machine Learning Algorithms in Forest Fires Science

  Ramez Alkhatib, Wahib Sahwan, Anas Alkhatieb, Brigitta Schütt

• DOI: 10.3390/app13137783 2023

  Identification of Subsurface Mesoscale Crack in Full Ceramic Ball Bearings Based on Strain Energy Theory

  Xiaotian Bai, Zhaonan Zhang, Huaitao Shi, Zhong Luo, Tao Li

• DOI: 10.3390/app13148122 2023

  A Survey on Formal Verification and Validation Techniques for Internet of Things

  Moez Krichen

• DOI: 10.1063/5.0153716 2023

  Peristaltic transport of MHD Ree–Eyring fluid through a flexible channel under the influence of activation energy

  M. Ajithkumar, P. Lakshminarayana, K. Vajravelu

• DOI: 10.3390/app13137744 2023

  New Trends in 4D Printing: A Critical Review

  Somayeh Vatanparast, Alberto Boschetto, Luana Bottini, Paolo Gaudenzi

• DOI: 10.3390/app13148175 2023

  Boiling vs. Microwave Heating—The Impact on Physicochemical Characteristics of Bell Pepper (Capsicum annuum L.) at Different Ripening Stages

  Remigiusz Olędzki, Joanna Harasym

• DOI: 10.1063/5.0158292 2023

  On the propagation of cnoidal wave and overtaking collision of slow shear Alfvén solitons in low <b> <i>β</i> </b> magnetized plasmas

  Salemah A. Almutlak, Shahida Parveen, Shahzad Mahmood, Anisa Qamar, B. M. Alotaibi, S. A. El-Tantawy

• DOI: 10.1063/5.0156571 2023

  Optimization of painting efficiency applying unique techniques of high-voltage conductors and nitrotherm spray: Developing deep learning models using computational fluid dynamics dataset

  Mohammad-Reza Pendar, Sílvio Cândido, José Carlos Páscoa

• DOI: 10.1063/5.0156543 2023

  Assessment of the aerodynamic benefits of collocating horizontal- and vertical-axis wind turbines in tandem using actuator line model

  Yixiao Shao, Jie Su, Yu Tu, Limin Kuang, Zhaolong Han, Kai Zhang, Dai Zhou

• DOI: 10.1063/5.0155532 2023

  Couple stress fluid flow enclosing a solid sphere in a porous medium: Effect of magnetic field

  Pankaj Kumar Maurya, Satya Deo, Deepak Kumar Maurya