Precursor Selection for Sol‐Gel Synthesis of Titanium Carbide Nanopowders by a New Intuitionistic Fuzzy Multi‐Attribute Group Decision‐Making Model
Source abstract
Abstract
This article develops a new intuitionistic fuzzy multi‐attribute group decision‐making model to solve precursor selection problems. The proposed model is based on a hybridization of intuitionistic fuzzy sets theory, grey relational analysis and technique for order performance by similarity to ideal solution method. To better describe the uncertain decision environment, multi‐attribute group decision‐making method with completely unknown weights of both experts and attributes is proposed in an intuitionistic fuzzy setting. Finally, the selection of the carbon source in synthesis of nanocrystalline titanium carbide powders by sol‐gel route as an application example is solved by the proposed model, and the implementation of the model is illustrated completely.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Multi-Criteria Decision Making · Quality Function Deployment in Product Design
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Materials and Metallurgical Engineering Iran University of Science and Technology Narmak Tehran Iran
Young Researchers and Elite Club South Tehran Branch Islamic Azad University Tehran Iran
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