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Researchers of decision making have often shown that It is a complex process that a decision maker is quick and accurate at preferences structure or ordering when he was confronted multiple objectives, multiple criteria, and multiple alternatives. Before the enterprise shifts the operation to RFID, needs to carry on the simulation or the construction feasible deliberation and the appraisal first. In the simulation process, the enterprise may understand that what benefit in essence from RFID. Moreover the enterprise may also further estimate possible impact from the RFID. This study not only applies Multi-Criteria Decision Making with Incomplete Linguistic model (InlinPreRa) and uses horizontal, vertical and oblique pairwise comparison algorithms to construct but also expansion group decision making model. When the decision maker is carrying out the pairwise comparison, the following problems can be avoided: time pressure, lack of complete information, the decision maker is lack of this professional knowledge, or the information provided is unreal and thus it is difficult to obtain information. In this study uses group decision making Matrix to elevate the best RFID supply chain will carry effective and immediate for company. To conclude, this study may be importance in explaining the function of the InlinPreRa Model on decision making, as well as in providing decision makers with a better understanding of the process of the InlinPreRa Model.

When managing a university, the principal or administrators always encounter internal and external risk items or difficulties which they know even they don't know. This study therefore proposes an analytic hierarchy model to help the private university in Taiwan understand the critical risk factors influence the school management, and an aggregative risk degree is indicated. The importance weights of risk factors and occurrence ratings of two possible outcomes (risk and none-risk) are determined by using consistent fuzzy preference relations. By multiplying the importance weights of risk factors and occurrence ratings of possible outcomes, the aggregative risk degree of a private university is determined. University A is used to demonstrate the measuring procedures of this proposed approach. The results show that the five most important risk factors in managing the private university in Taiwan are: leadership and organization structure risk, development and plan risk, financial risk, environment and equipment risk, teaching and curriculum risk.

This study applies an analytic hierarchical prediction model based on Multi-Criteria Decision Making with Incomplete Linguistic Preference Relations(InLinPreRa) to help the organizations become aware of the essential factors affecting the Enterprise Resource Planning(ERP), as well as identify the actions necessary before implementing ERP. The subjectivity and vagueness in the prediction procedures are dealt with using linguistic terms quantified in an interval scale [-t, t] . Then predicted success/failure values are obtained to enable organizations to decide whether to initiate ERP, inhibit adoption or take remedial actions to increase the possibility of successful ERP. The empirical results not only demonstrate the senior manager support degree, organizational and coordination are the three most important influential factors in the ERP initiative process, but also reveal the applicability and feasibility of reciprocal Incomplete Linguistic Preference Relation(InLinPreRa) for solving complicated hierarchical multiple attribute prediction problems.

This study not only applies Multi-Criteria Decision Making with Incomplete Linguistic model (InlinPreRa) and uses horizontal, vertical and oblique pairwise comparison algorithms to construct but also expansion group decision making model. When the decision maker is carrying out the pairwise comparison, the following problems can be avoided: time pressure, lack of complete information, the decision maker is lack of this professional knowledge, or the information provided is unreal and thus it is difficult to obtain information.

The proposes of this study is to ascertain the effect of using Incomplete Linguistic Preference Relations based group decision making under a fuzzy environment to help decision makers select the best one amongst multiple criteria and alternatives. This study not only applies Multi-Criteria Decision Making with Incomplete Linguistic model (InlinPreRa) and uses horizontal, vertical and oblique pairwise comparison algorithms to construct but also expansion group decision making model. When the decision maker is carrying out the pairwise comparison, the following problems can be avoided: time pressure, lack of complete information, the decision maker is lack of this professional knowledge, or the information provided is unreal and thus it is difficult to obtain information. In this study, the Web shops' performances will be evaluated effective and immediate in this model.

This study provides a method to solve the incomplete linguistic preference relations under multi-criteria decision making. The method uses simple calculation and can speed up the process of comparison and selection of alternative. Decision-making experts obtain the matrix by choosing a finite and fixed set of alternatives and set a pairwise comparison based on their different preferences and knowledge. The method considers only n-1 judgments, whereas the traditional analytic hierarchy approach takes n(n -1)/2 judgments in a preference matrix with n elements. By using the method described above, this study evaluates the ERP system suppliers.