Name
Title | ||
|---|---|---|
Aggregation operators in economic growth analysis and entrepreneurial group decision-making. |
Abstract | ||
|---|---|---|
Display Omitted New methods for forecasting the economic growth with aggregation systems.Using the OWA operator and its generalizations as a forecasting method.Connection between entrepreneurship, economic growth and aggregation operators.A new entrepreneurial group decision making method. An economic crisis can be measured from different perspectives. A very commonly used measure is that of a country's economic growth. When growth is lower than desired, the economy is assumed to be near stagnation or in an economic recession. This paper connects entrepreneurship and economic growth in decision-making problems assessed with modern aggregation systems. Aggregation techniques can represent information more comprehensively in uncertain and imprecise environments. This paper suggests several practical aggregation operators for this purpose, such as the ordered weighted average and the probabilistic ordered weighted averaging weighted average. Other aggregation systems based on macroeconomic theory are also introduced. The paper concludes with an application in an entrepreneurial uncertain multi-criteria multi-person decision-making problem regarding the selection of optimal markets for creating a new company. This approach is based on the use of economic growth as the fundamental variable for determining the preferred solution. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.asoc.2016.05.031 | Appl. Soft Comput. |
Keywords | Field | DocType |
Economic growth,Entrepreneurial group decision making,Aggregation systems,Uncertainty | Mathematical optimization,Entrepreneurship,Recession,Generalization,Operator (computer programming),Probabilistic logic,Weighted arithmetic mean,Mathematics,Group decision-making | Journal |
Volume | Issue | ISSN |
47 | C | 1568-4946 |
Citations | PageRank | References |
7 | 0.52 | 17 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José M. Merigó | 1 | 2066 | 94.42 |
| Marta Peris-Ortiz | 2 | 12 | 2.36 |
| Antonio Navarro-García | 3 | 7 | 0.52 |
| Carlos Rueda-Armengot | 4 | 9 | 0.90 |