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The purpose of this paper is to propose an occurrence-based model to improve the forecasting of regime switches so as to assist decision making.

This paper proposes a novel model where occurrences of relationships are taken into account when forecasting. Taiwan Stock Exchange Capitalization Weighted Stock Index is taken as the forecasting target.

Due to the consideration of occurrences of relationships in forecasting, the out of sample forecasting is improved.

The proposed model can be applied to forecast other time series for regime switches. In addition, it can be integrated with other time series models to improve forecasting performance.

The empirical results show that the proposed model can improve the forecasting performance.

The purpose of this paper is to use soft computing technique and fuzzy statistical tool to evaluate people's performance on the marketing research and time management.

Through standardized measurement system, the authors come up with real-value data to satisfy not the current needs but data itself. This is when fuzzy classification stands out and highlights the area of in-between and undefined.

The proposed metric system helps the authors to assess the distance among trapezoidal fuzzy data. The index of efficiency between observed time and ideal time is also presented.

With the ranking of fuzzy sample, the authors can examine the decision process by non-parametric testing hypothesis.

Constructing a fuzzy control chart with interval-valued fuzzy data is an important topic in the fields of medical, sociological, economics, service and management. In particular, when the data illustrates uncertainty, inconsistency and is incomplete which is often the. case of real data. Traditionally, we use variable control chart to detect the process shift with real value. However, when the real data is composed of interval-valued fuzzy, it is not feasible to use such an approach of traditional statistical process control (SPC) to monitor the fuzzy control chart. The purpose of this paper is to propose the designed standardized fuzzy control chart for interval-valued fuzzy data set.

The general statistical principles used on the standardized control chart are applied to fuzzy control chart for interval-valued fuzzy data.

When the real data is composed of interval-valued fuzzy, it is not feasible to use such an approach of traditional SPC to monitor the fuzzy control chart. This study proposes the designed standardized fuzzy control chart for interval-valued fuzzy data set of vegetable price from January 2009 to September 2010 in Taiwan obtained from Council of Agriculture, Executive Yuan. Empirical studies are used to illustrate the application for designing standardized fuzzy control chart. More related practical phenomena can be explained by this appropriate definition of fuzzy control chart.

This paper uses a simpler approach to construct the standardized interval-valued chart for fuzzy data based on traditional standardized control chart which is easy and straightforward. Moreover, the control limit of the designed standardized fuzzy control chart is an interval with (LCL, UCL), which consists of the conventional range of classical standardized control chart.

Because quantile regression gets more popular and provides more comprehensive interpretations, it is important to advance quantile regression for forecasting. By extending the convention quantile regression, the purpose of this paper is to propose a quantile regression-forecasting model to forecast information and communication technology (ICT) development.

This paper proposes an approach to forecasting based on quantile regression method.

Via quantile information criterion, the proposed approach can identify whether the independent variables are predictable. For those which are predictable, the proposed approach can be used to forecast these variables.

The proposed approach is used to forecast ICT development. It can also be used to forecast other problem domains.

Based on the empirical results, the proposed approach advances the application of quantile regression model to forecast. The applicability of quantile regression model is greatly enhanced.

The purpose of this paper is to find alternative strategies to change negative output gaps in China.

A path Philips curves approach is proposed to investigate output gaps, which develops hybrid Philips curves with the control variables of money, house prices and interest rates.

An alternative strategy to stop the decline in output gaps rate is to perform interest rate, house price, and money growth rate about 3, 1 and 15 percent, respectively. The results also indicate that only one of monetary increase, changes in interest rates, and house price adjustments are difficult to change the negative output gap.

Alternative strategies cannot only change the negative output gap, but also succeed in pushing the inflation rate down to 3 percent.

This study provides a new path Philips curves to simulate how the macroscopic control variables influence output and inflation. It provides a useful insight for stopping the decline in output gaps.

The purpose of this paper is to integrate Modigliani-Miller (MM) theory and stock repurchases strategy to procure a practical concept for capital decision.

No-arbitrage proof model deduction was used in this study. The authors consider corporate tax and funding sources as two crucial factors drawn in the model. The paper derives some propositions by trichotomy property and keeps the key assumptions of MM Capital Structure Theory.

There are two different effects on firm's value through stock repurchases. The positive effect occurs on firm's value through stock repurchases with loan fund. And the negative impact exists on firm's value through stock repurchases with idle fund.

Notably, in the real world there are three limitations with such an arbitrage transaction (Stulz, 2000). The first one is the default risk, and the second one is transaction costs and the last one is the perfect credit market assumption. In the near future, the authors suggest it would be interesting to involve the interest rate factor and contingent tax variable into our model.

On the basis of no arbitrage opportunity, this paper considers both trichotomy property and MM theory. It proves the share repurchase strategy should be financed by borrowing fund. In contrast, share repurchase should not be executed with idle fund because of opportunity cost.

The purpose of this paper is to investigate optimal decision methods under a cooperative situation in two-echelon logistic models.

The authors propose the optimal strategies of exporters in the three types of rival game behaviors: Stackelberg, Collusion, and Cournot, each of which provides the optimal decision for the duopolistic shippers and the oligopolistic forwarders in each scenario.

From the empirical studies the paper finds that among three scenarios, the oligopolistic treatment of forwarders’ actions demonstrates that Stackelberg behavior can carry out the maximum profit, and Collusion game can achieve the maximum profit for the shippers.

Proposed an optimal decision methods in two-echelon logistic models.

The purpose of this paper is to investigate the principles on how to reuse the reclaimed wastewater in urban areas and furthermore, to determine appropriate reuse targets and optimize the selection of reuse targets on wastewater.

Use Analytic Hierarchy Process (AHP) to suggest the assessment criteria and subject weights of wastewater reuse. Candidate reclaimed wastewater reuse targets in this study includes “agriculture irrigation,” “industrial use,” “environmental use,” “urban use,” “groundwater recharge,” “life-use water,” and “infusion reservoir.”

The analysis results of the pairwise comparison of the water targets under different assessment criteria level show that in all water targets, agriculture irrigation is more important than industrial use under the “public acceptance” at first. Then, the order results were used to suggest the future wastewater reuse targets under different assessment criteria levels and conducted an acceptance survey on the people of the urban areas.

The results of this study can be a useful information for the system analysis of wastewater reclamation and reuse.

The purpose of this paper is to reveal how store design influences luxury brand image building in a competitive market through the case study of two luxury fashion brands – Bally and Tod's.

Quantitative (questionnaires) and qualitative (interview) approaches are both utilized in this research study. The authors interviewed brand managers of Bally and Tod's Japan and then conducted questionnaires to 57 consumers and six brand managers. Correspondence analysis, multidimensional analysis, and rough set theory were utilized to analyze the data obtained from questionnaires in order to draw the positioning maps of brand image and store image, calculate the distance of images between managers and consumers and derive and compare inference structure.

The “Brand Dimensions Scales” created by Aaker (1997) can enable to measure luxury brand and store image in a scientific way. The results clarify that there is a big gap between consumers’ and managers’ cognition; the architect who designs the building could be a efficient way of advertising a luxury brand and its building to the public; and location and store atmosphere should influence luxury brand image building through non-verbal communication.

This research study on luxury brand image building provides a way to measure brand image and assesses the impact change in brand image as well as its stores.