Impact of Machine Learning and Artificial Intelligence in Business Based on Intuitionistic Fuzzy Soft WASPAS Method
نویسندگان
چکیده
Artificial intelligence (AI) is a well-known and reliable technology that enables machine to simulate human behavior. While the major theme of AI make smart computer system thinks like solve awkward problems, learning allows automatically learn from past information without need for explicit programming. In this analysis, we aim derive idea Aczel–Alsina aggregation operators based on an intuitionistic fuzzy soft set. The initial stage was discovery primary critical operational laws sets. Subsequently, pioneer range applicable theories (set out below) identify their essential characteristics key results: weighted averaging; ordered geometric operators; operators. Additionally, by utilizing certain information, including averaging operators, also introduce theory aggregates sum product assessment method information. This paper introduces multi-attribute decision-making method, which derived numbers seeks assess specific industrial problems using artificial or learning. Finally, underline value reasonableness described herein, compare our obtained results with some pre-existing in field. comparison supported numerical examples demonstrate practicality invented theory.
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ژورنال
عنوان ژورنال: Mathematics
سال: 2023
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math11061453