Name
Title | ||
|---|---|---|
Picture Fuzzy Heronian Mean Aggregation Operators In Multiple Attribute Decision Making |
Abstract | ||
|---|---|---|
The Heronian mean and generalized Heronian mean provide two aggregation operators that consider the interdependent phenomena among the aggregated arguments. In this paper, the Heronian mean and generalized Heronian mean under picture fuzzy environments is studied. First, the generalized picture fuzzy Heronian mean (GPFHM) operator and generalized picture fuzzy weighted Heronian mean (GPFWHM) operator are proposed and some of their desirable properties and special cases are investigated in detail. Then, an approach to multiple attribute decision making (MADM) based on GPFWHM operator is proposed. Finally, a practical example for enterprise resource planning (ERP) system selection is given to verify the developed approach and to demonstrate its practicality and effectiveness. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3233/KES-180382 | INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS |
Keywords | Field | DocType |
Multiple attribute decision making (MADM), picture fuzzy set, generalized picture fuzzy Heronian mean (GPFHM) operator, generalized picture fuzzy weighted Heronian mean (GPFWHM) operator, enterprise resource planning (ERP) system | Heronian mean,Computer science,Fuzzy logic,Artificial intelligence,Operator (computer programming),Machine learning | Journal |
Volume | Issue | ISSN |
22 | 3 | 1327-2314 |
Citations | PageRank | References |
0 | 0.34 | 39 |
Authors | ||
3 | ||