| Autor: |
Nimisha, Prakash, Ashish, Kumar, Sachin, Arora, Ashish, Saxena, Saurabh |
| Předmět: |
|
| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3168 Issue 1, p1-6, 6p |
| Abstrakt: |
Making decisions based on multiple attributes works well with fuzzy information. First of all, fuzzy information is by nature more reflective of people's real-world thoughts. People's perceptions of things are frequently not binary, meaning that there is some degree of ambiguity. Second, the evaluation values of several characteristics may exist concurrently in an information unit in various representations of fuzzy information. Fuzzy theory forms the basis of nearly all multi-attribute decision-making techniques used today for the reasons mentioned above. The review of fuzzy multi-attribute decision-making is the aim of this study. The following are the primary goals: To assist novices in comprehending the primary study findings and fundamental fuzzy multi-attribute decision-making. The present work provides a framework for the problem of decision making in course exit survey using fuzzy rough approximations. On the basis of attributes used in course exit survey a conclusion is drawn through fuzzy lower and upper approximations in decision table. Finally, an algorithm is proposed. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
