On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
The ordered weighted averaging operators: theory and applications
The ordered weighted averaging operators: theory and applications
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models Intelligent Systems from Decision Making to Data Mining, Web Intelligence and ...
Aggregation operators and models
Fuzzy Sets and Systems
A linguistic modeling of consensus in group decision making basedon OWA operators
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
New decision-making techniques and their application in the selection of financial products
Information Sciences: an International Journal
Mining negative generalized knowledge from relational databases
Knowledge-Based Systems
Grey relational analysis model for dynamic hybrid multiple attribute decision making
Knowledge-Based Systems
Consolidating SWOT analysis with nonhomogeneous uncertain preference information
Knowledge-Based Systems
An interactive method for dynamic intuitionistic fuzzy multi-attribute group decision making
Expert Systems with Applications: An International Journal
Dynamic web service selection group decision-making method based on hybrid QoS
International Journal of High Performance Computing and Networking
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Multiple attribute decision making (MADM) is an important part of modern decision science. It has been extensively applied to various areas such as society, economics, military, management, etc., and has been receiving more and more attention over the last decades. To date, however, most research has focused on single-period multi-attribute decision making in which all the original decision information is given at the same period, and a number of methods have been proposed to solve this kind of problems. This paper is devoted to investigating the multi-period multi-attribute decision making (MP-MADM) problems where the decision information (including attribute weights and attribute values) are provided by decision maker(s) at different periods. We define the concept of dynamic weighted averaging (DWA) operator, and introduce some methods, such as the arithmetic series based method, geometric series based method and normal distribution based method, to obtain the weights associated with the DWA operator. Based on the DWA operator, we develop an approach to MP-MADM. Moreover, we extend the DWA operator and the developed approach to solve the MP-MADM problems where all the attribute values provided at different periods are expressed in interval numbers, and use a possibility-degree formula to rank and select the given alternatives.