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Intuitionistic Fuzzy Einstein Prioritized Weighted Average Operators and their Application to Multiple Attribute Group Decision Making |
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PP: 3095-3107 |
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Author(s) |
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Rajkumar Verma,
BhuDev Sharma,
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Abstract |
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| This study investigates the multiple attribute decision making under intuitionistic fuzzy environment in which the attributes
and the decision makers are in different priority levels. In this paper, we first propose two new intuitionistic fuzzy aggregation operators
such as the intuitionistic fuzzy Einstein prioritized weighted average (IFEPWA) operator and the intuitionistic fuzzy Einstein prioritized
weighted geometric (IFEPWG) operator for aggregating intuitionistic fuzzy information. These proposed operators can capture the
prioritization phenomenon among the aggregated arguments. The properties of the new aggregation operators are studied in details
and their special cases are examined. Furthermore, based on the proposed operators, an approach to deal with multiple attribute group
decision making problems under intuitionistic fuzzy environment is developed. Finally, a practical example is provided to illustrate the
multiple attribute group decision making process with intuitionistic fuzzy information. |
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