# marketing fuzzy model

A fuzzy set is a set in which the boundary is not precisely defined. This paper presents a prediction of selection of customers for promotional marketing campaigns by incorporating fuzzy approach. A fuzzy model is proposed for selection of customers who should be targeted for deposit subscription schemes.

Fuzzy ARIMA model for forecasting the foreign exchange market

Considering the time-series ARIMA (p, d, q) model and fuzzy regression model , this paper develops a fuzzy ARIMA (FARIMA) model and applies it to forecasting the exchange rate of NT dollars to US dollars. This model includes interval models with interval parameters and

Evolutionary Fuzzy System Ensemble Approach to Model Real Estate Market based on Data Stream Exploration.

An approach to predict from a data stream of real estate sales transactions based on ensembles of genetic fuzzy systems was presented. The proposed method relies on incremental expanding an ensemble by models built over successive chunks of a data

A fuzzy model for bidding behavior of generators in electricity market

In a deregulated electricity market , participants have to decide their bids under various uncertainties. We proposed a model of decision-making under uncertainty using a fuzzy inference procedure where fuzzy rules map environmental information to bid actions. The

Economic order quantity model under fuzzy sense when demand follows innovation diffusion process having dynamic potential market size

The conventional inventory models are associated with different kind of uncertainties and these uncertainties make the model unrealistic. The fuzzy set theory plays a pivotal role to address this problem. In this paper, a mathematical model has been developed for obtaining

A fuzzy engine model for efficient stock market prediction

The prediction of stock market is considered a non-trivial problem in the financial arena. In the last few years many sophisticated models were developed to predict the stocks in order to achieve a maximum profit. Fuzzy models are one of the powerful methods that are used in

The forecasting of Istanbul stock market with a high order multivariate fuzzy time series forecasting model

The fuzzy time series approaches, which recently are intensively considered by the researchers, consist of three stages of fuzzification, determination of fuzzy relations and defuzzification. Several studies using different approaches in these steps have been

Forecasting stock exchange market using hybrid neuro fuzzy model

This paper proposes a hybrid approach based on neuro fuzzy model and emotional learning for prediction of stock exchange market . Neuro fuzzy models are powerful in modeling and forecasting highly nonlinear and complex time series. The emotional Learning, which is

A fuzzy logic model to forecast stock market momentum

Forecasting is a very complex process and requires considering many dimensions. The stock market index values are very chaotic in nature and highly random, hence forecasting stock market values is a very challenging job. Financial forecasting that too stock market

A Markov- fuzzy Combination Model For Stock Market Forecasting

This paper presents a simple combination of Markov model and fuzzy time series model (called MC- fuzzy ) for forecasting stock market data. The fuzzy time series model is used to partition the dataspace into states and also solves the fuzzy data in stock index future price

Stock market forecasting by multivariate higher order fuzzy time series model

Present and past behavior of stock market is required when forecasting the trends of a market . Fuzzy Time Series (FTS) has emerged as a noble approach for predicting the future values of a stock when the information is imprecise and vague. In this paper we have

An expanded Adaptive Neuro- Fuzzy Inference System (ANFIS) model based on AR and causality of multi-nation stock market volatility for TAIEX forecasting

For common people, stock investing is one popular way to manage their property. As Information Technology (IT) has risen in recent years, every security company has analyzed computer systems for their customers by developing their own investing. Taiwan is an island

Presenting a Fuzzy ARIMA Model for Forecasting Stock Market Price Index of Iranâ€–

Stock market is as a key element of financial markets and signs of economic growth. Since this market is recognized as a leading variable in economics, it is always the interest of policy makers and economic planners and hence the forecasting of expansions and

Fuzzy Logic Relation Based Stock Market Forecasting Model

Global Journal of Pure and Applied Mathematics. ISSN 0973-1768 Volume 1 Number 3 (2017), pp. 1009-1018 Research India Publications http://www.ripublication.com GPPandey1 Department of Mathematics, Bhilai Institute of Technology, Bhilai House, Durg, 491001

Neural network and Fuzzy Regression Model for Forecasting Short Term Price in Ontario Electricity Market

It is very important to forecast electricity price in a deregulated electricity market for choosing the bidding strategy, and it is the most important signal for other players. It engulfs information for both customers and producers in order to maximize their profit. Thus

A Hybrid Neuro- Fuzzy Model for Stock Market Time-Series Prediction

In this paper we propose a hybrid five-layer neuro- fuzzy model and a corresponding learning algorithm with application in stock market time-series prediction tasks. The key difference between classical ANFIS architecture and the proposed model is in the fourth

Improved Fuzzy Forecasting Model for Stock Exchange Market

Stock price forecasting, which is an important topic in finance and economics, has prodded the enthusiasm of specialists throughout the years to develop models for better forecasts. Stock market is a key factor of monetary markets and signs of economic growth. Therefore

A Stock Model for Fuzzy Financial Market

The option pricing problem is one of the central contents in modern financial market . In this paper, we present a new stock model for uncertain financial market based on canonical uncertain process. Firstly, Lius stock model and its European option price formulas are

A Fuzzy Cognitive Map-based Stock Market Model : Synthesis, Analysis and Experimental Results