Titlebook: Intelligent Data Mining; Techniques and Appli Da Ruan,Guoqing Chen,Geert Wets Book 2005 Springer-Verlag Berlin Heidelberg 2005 backpropagat

hegemony

fetter

The Evolution of the Concept of Fuzzy Measure,hich can sometimes be somehow explained with a few useful measures on the premises or on the chosen relations, logics and implications. This chapter presents a state of art on the latest concepts of measure, from the additive measures, to monotone fuzzy measures and the latest monotone measures in r

interrogate

ovation

Discovering the Factors Affecting the Location Selection of FDI in China*, China has an increasingly unbalanced development between the eastern and western provinces. In this chapter, the temporal association rule (TAR) mining method is applied in discovering the factors affecting the location selection of FDI. In the light of the data set at the provincial level in the p

prolate

Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction,ct or service and the underlying (perceived) performance on the product’s or service’s attributes. Eventually, the method should allow to identify the attributes that need improvement and that most significantly enhance the business relationship with the customer. This paper presents an analytic des

CLEFT

Using an Adapted Classification Based on Associations Algorithm in an Activity-Based Transportationroaches is to focus on a limited subset of association rules. However, these integration approaches have not been tested yet within the context of transportation research. The aim of this chapter is therefore to evaluate the performance of an adapted well-known associative classification algorithm o

Gastric

Evolutionary Induction of Descriptive Rules in a Market Problem,ic instrument in company marketing policies, especially in Industrial Marketing. Due to the elevated investment in term of both time and money it is necessary the automatic extraction of relevant and interesting information which helps to improve fair planning policies.

BULLY

Personalized Multi-Stage Decision Support in Reverse Logistics Management, and external linkages, the management of a reverse logistics chain becomes an area of organizational competitive advantage, in particular, with the growth of e-commerce applications. To effectively manage a reverse logistics chain always involves a decision optimization issue in which uncertain inf

N斯巴達(dá)人

Fuzzy Process Control with Intelligent Data Mining,n this case fuzzy set theory can handle this problem. This chapter develops fuzzy control charts for linguistic data. Later, unnatural pattern analyses are made using the probability of a fuzzy event. Unnaturalness of the linguistic data is searched with an intelligent data mining procedure.

analogous

Accelerating the New Product Introduction with Intelligent Data Mining,of uncertainty and the success of each step depends on how previous steps are successfully accomplished. Hence, there is a clear need to evaluate new product initiatives systematically and make accurate decisions under uncertainty. Another actual concern for the companies is the time pressure to lau