In wireless network applications, such as routing decision, selection, etc., the Multi-Attribute Decision Making (MADM) is widely used. The MADM approach can address multi-objective decision making issues effectively. However, when parameters vary greatly, traditional algorithm not effective anymore. To solve this problem, in paper, we propose pairwise-based algorithm. PMADM, only two nodes' ut...

In this paper, a new approach to working with missing attribute values in inductive learning algorithms is introduced. Three fundamental issues are studied: the splitting criterion, the allocation of values to missing attribute values, and the prediction of new observations. The formal definition for the splitting criterion is given. This definition takes into account the missing attribute valu...

The entropy of intuitionistic fuzzy sets is used to indicate the degree of fuzziness of an interval-valued intuitionistic fuzzy set(IvIFS). In this paper, we deal with the entropies of IvIFS. Firstlt, we propose a family of entropies on IvIFS with a parameter λ ∈ [0, 1], which generalize two entropy measures defined independently by Zhang and Wei, for IvIFS, and then we prove that the new entro...

Since attribute reduction is NP-hard problem, in order to obtain the minimum relative reduction effectively in decision table, an attribute reduction algorithm in rough set theory based on improved genetic algorithm is proposed. At first, the dependence concept of decision attribute on condition attribute is introduced. At the same time, the relative importance of the condition attribute with r...

This paper investigates the multiple attribute decision making problem with preference information on alternatives, in which multiple decision makers give their preference information in three forms, i.e., preference orderings, utility values and fuzzy preference relation. A new approach is presented to make use of both the decision makers' social fuzzy preference relation on alternatives and d...

In this paper, the Multiple Attribute Group Decision Making (MAGDM) problems is based on the attribute weights calculated from completely unknown information using the Maximal Entropy OWA weights. The interval-valued intuitionistic fuzzy ordered weighted averaging (IIFOWA) operator is utilized to aggregate all individual interval-valued intuitionistic fuzzy decision matrices provided by the dec...

In this paper, we present a linguistic interval 2-tuple representation model and new linguistic interval 2tuple aggregation operators, i.e., linguistic interval 2-tuple power average (LI2TPA) operator, linguistic interval 2-tuple weighted power average (LI2TWPA) operator and linguistic interval 2-tuple power ordered weighted average (LI2TPOWA) operator. Some desired properties of the developed ...

By analyzing the characteristics of public bidding for substation equipments and combining with the research methods of multiple attribute decision-making problems, a multiple attribute bid-decision making model is presented. Firstly, the weight of interval numbers is specified by using the interval numbers theory and entropy theory. Secondly, the deviation degree of decision-making scheme is p...

vendor selection is dominantly considered to be a multi attribute decision making (madm) problem, since the decision maker needs to evaluate suppliers simultaneously in different and even contrastive evaluation criteria. one shortcoming of madm methods is that they only compare alternatives with each other, and there is no comparison with the requirements of the buying company. a very efficient...