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Picture Fuzzy Logic and Its Applications in Decision Making Problems
Loot Price: R4,136
Discovery Miles 41 360
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Picture Fuzzy Logic and Its Applications in Decision Making Problems
Series: Advanced Studies in Complex Systems
Expected to ship within 12 - 17 working days
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Picture Fuzzy Logic and Its Applications in Decision Making
Problems provides methodological frameworks and the latest
empirical research findings in the field of picture fuzzy
operators, and their applications in scientific research and
real-world engineering problems. Although fuzzy logic can be
applied in a number of different areas, many researchers and
developers are not yet familiar with how picture fuzzy operators
can be applied to a variety of advanced decision-making problems.
Picture fuzzy set is a more powerful tool than fuzzy set or
intuitionistic fuzzy set to tackle uncertainty in a variety
real-world modeling applications. Picture fuzzy set is actually the
generalization of intuitionistic fuzzy set, and intuitionistic
fuzzy set is the generalization of fuzzy set. In this book, the
picture fuzzy sets are investigated, and different types of
operators are defined to solve a number of important decision
making and optimization problems. The hybrid operator on picture
fuzzy set based on the combination of picture fuzzy weighted
averaging operators and picture fuzzy weighted geometric operators
is developed and named Hybrid Picture Fuzzy Weighted Averaging
Geometric (H-PFWAG) operator. Another operator is developed for
interval-valued picture fuzzy environment, which is named Hybrid
Interval-Valued Picture Fuzzy Weighted Averaging Geometric
(H-IVPFWAG) operator. These two operators are then demonstrated as
solutions to Multiple-Attribute Decision-Making (MADM) problems.
The picture fuzzy soft weighted aggregation operators (averaging
and geometric) are defined, and these are applied to develop a
multi-criteria group decision making system. The Dombi operator in
the picture fuzzy environment is then defined and applied to solve
MADM problems. Based on the Dombi operator, several other operators
are defined. These are the picture fuzzy Dombi aggregation
operators, including picture fuzzy Dombi weighted averaging
operator, picture fuzzy Dombi order weighted averaging operator,
picture fuzzy Dombi hybrid averaging operator, picture fuzzy Dombi
weighted geometric operator, picture fuzzy Dombi order weighted
geometric operator, and picture fuzzy Dombi hybrid geometric
operator. Each of these operators are used to solve MADM problems.
An extension picture fuzzy set known as m-polar picture fuzzy set
is proposed and investigated along with many properties of m-polar
picture fuzzy Dombi weighted averaging and geometric operators;
each of these operators are applied to MADM problems. Another
extension of the picture fuzzy set is the interval-valued picture
fuzzy uncertain linguistic environment. In this set,
interval-valued picture fuzzy uncertain linguistic weighted
averaging and geometric operators are developed, and
interval-valued picture fuzzy uncertain linguistic Dombi weighted
aggregation operators are utilized in the MADM process. In the
complex picture fuzzy environment, the authors demonstrate some
complex picture fuzzy weighted aggregation operators to be used in
solving MADM problems. Another approach called MABAC with picture
fuzzy numbers is studied and developed as a multi-attribute group
decision making model. Furthermore, the picture fuzzy linear
programming problem (PFLPP) is initiated, in which the parameters
are picture fuzzy numbers (PFNs). The picture fuzzy optimization
method is applied for solving the PFLPP. This concept is used to
solve the picture fuzzy multi-objective programming problem
(PFMOLPP) under the picture fuzzy environment.
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