this paper proposes a method for ranking decision making units (dmus) using some of the multiple criteria decision making / multiple attribute decision making          (mcdm /madm) techniques, namely, interval analytic hierarchy process (iahp)          and the technique for order preference by similarity to an ideal solution (topsis).          since the efficiency score of unity is assigned to ...

although many scholars had proposed lots research results about online shopping, they are quite vague and hard for enterprisers to practice it. hence, this research observes the online store policies, services, functions, and activities among 17 online shopping platforms in taiwan, china, and hong kong. and, this research (1) finds online stores assessment items by literature review; (2) establ...

We introduce the notion of high order decision rules. While a standard decision rule expresses connections between attribute values of the same object, a high order decision rule expresses connections of different objects in terms of their attribute values. An example of high order decision rules may state that “if an object x is related to another object y with respect to an attribute a, then ...

In this paper, we introduce a neural network-based decision table algorithm. We focus on the implementation details of the decision table algorithm when it is constructed using the neural network. Decision tables are simple supervised classifiers which, Kohavi demonstrated, can outperform state-of-the-art classifiers such as C4.5. We couple this power with the efficiency and flexibility of a bi...

Rough set theory is used in data mining through complex learning systems and uncertain information decision from artificial intelligence. For multiple attribute decision making, rough sets employ attribute reduction to generate decisive rules. However, dynamic information databases, which record attribute values changing with time, raise questions to rough set based multiple attribute reduction...

In this paper, we investigate the multiple attribute decision making (MADM) problem based on the arithmetic and geometric aggregation operators with hesitant fuzzy linguistic information. Then, motivated by the idea of traditional arithmetic operation, we have developed some aggregation operators for aggregating hesitant fuzzy linguistic information: hesitant fuzzy linguistic weighted average (...