A New Approach to Artificial Intelligent Based Three-Way Decision Making and Analyzing S-Box Image Encryption Using TOPSIS Method

In fuzzy artificial intelligent decision support systems, three-way intelligent-decision making (TWIDM) has played a very important role in ranking objects under the double hierarchy linguistic variable (DHLV). The 8 × S-boxes are for image encryption secure communication. Therefore, aim of present study is to develop new approach via DHLV and apply it S-box encryption. Artificial based decision-making problems with hesitant terms developed. first second term sets make up set, which allows more flexible expressions doubt fuzziness. First, we define Einstein operational laws, score function, aggregation operators; i.e., weighted averaging geometric operators. unknown weight vector experts determined by using operators entropy measures DHLV. Then, find our criteria distance measure. TWIDM, conditional probability extended TOPSIS method evaluating expected losses then computed aggregating loss functions help Einstein-weighted Finally, minimum-loss rules selection proposed technique been compared existing decisions result analyzing good reliable making.