Interval valued fuzzy sets based on normal forms
Fuzzy Sets and Systems
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Interval valued intuitionistic fuzzy sets
Fuzzy Sets and Systems
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Special issue on fuzzy optimization
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems - Special issue: Preference modelling and applications
Generalized OWA Aggregation Operators
Fuzzy Optimization and Decision Making
Dependent uncertain ordered weighted aggregation operators
Information Fusion
The induced generalized OWA operator
Information Sciences: an International Journal
Developing a fuzzy TOPSIS approach based on subjective weights and objective weights
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Fuzzy Preference Ordering of Interval Numbers in Decision Problems
Fuzzy Preference Ordering of Interval Numbers in Decision Problems
Fuzzy Sets and Systems
Remarks on basics of fuzzy sets and fuzzy multisets
Fuzzy Sets and Systems
International Journal of Intelligent Systems
International Journal of Intelligent Systems
Induced and uncertain heavy OWA operators
Computers and Industrial Engineering
Decision-making with distance measures and induced aggregation operators
Computers and Industrial Engineering
Induced generalized intuitionistic fuzzy operators
Knowledge-Based Systems
Hesitant fuzzy information aggregation in decision making
International Journal of Approximate Reasoning
Distance and similarity measures for hesitant fuzzy sets
Information Sciences: an International Journal
On distance and correlation measures of hesitant fuzzy information
International Journal of Intelligent Systems
Fuzzy induced generalized aggregation operators and its application in multi-person decision making
Expert Systems with Applications: An International Journal
Uncertain induced aggregation operators and its application in tourism management
Expert Systems with Applications: An International Journal
Induced generalized intuitionistic fuzzy OWA operator for multi-attribute group decision making
Expert Systems with Applications: An International Journal
The quasi-arithmetic intuitionistic fuzzy OWA operators
Knowledge-Based Systems
Generalized power aggregation operators and their applications in group decision making
Computers and Industrial Engineering
Hesitant fuzzy prioritized operators and their application to multiple attribute decision making
Knowledge-Based Systems
Induced ordered weighted averaging operators
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hesitant fuzzy geometric Bonferroni means
Information Sciences: an International Journal
Intuitionistic Fuzzy Aggregation Operators
IEEE Transactions on Fuzzy Systems
Hesitant Fuzzy Linguistic Term Sets for Decision Making
IEEE Transactions on Fuzzy Systems
Interval-valued hesitant preference relations and their applications to group decision making
Knowledge-Based Systems
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In this paper, we develop a series of induced generalized aggregation operators for hesitant fuzzy or interval-valued hesitant fuzzy information, including induced generalized hesitant fuzzy ordered weighted averaging (IGHFOWA) operators, induced generalized hesitant fuzzy ordered weighted geometric (IGHFOWG) operators, induced generalized interval-valued hesitant fuzzy ordered weighted averaging (IGIVHFOWA) operators, and induced generalized interval-valued hesitant fuzzy ordered weighted geometric (IGIVHFOWG) operators. Next, we investigate their various properties and some of their special cases. Furthermore, some approaches based on the proposed operators are developed to solve multiple attribute group decision making (MAGDM) problems with hesitant fuzzy or interval-valued hesitant fuzzy information. Finally, some numerical examples are provided to illustrate the developed approaches.