نتایج جستجو برای: attribute decision making madm
تعداد نتایج: 600971 فیلتر نتایج به سال:
9 This article proposes an approach to handle multi-attribute decision making (MADM) 10 problems under the interval-valued intuitionistic fuzzy environment, in which both 11 assessments of alternatives on attributes (hereafter, referred to as attribute values) and 12 attribute weights are provided as interval-valued intuitionistic fuzzy numbers (IVIFNs). 13 The notion of relative closeness is e...
Seamless continuity is the main goal in fourth generation Wireless networks (FGWNs), to achieve this “ HANDOVER” technique is used, when a mobile terminal(MT) is in overlapping area for service continuity, Handover mechanism are mainly used. In Heterogeneous wireless networks main challenge is continual connection among the different networks like WiFi, WiMax, WLAN, WPAN etc. In this paper, Ver...
The choice of an aggregation function is a common problem in Multi Attribute Decision Making (MADM) systems. The Method of Imprecision (MoI) is a formal theory for the manipulation of preliminary design information that represents preferences among design alternatives with the mathematics of fuzzy sets. The MoI formulates the preliminary design problem as a MADM problem. To date, two aggregatio...
Enterprise resource planning (ERP) systems have become important part of industries as they enable industries to make their operations and resources more efficient and integrate business data process. In order to put an ERP project successfully in service, it is necessary to select an ERP system which can meet the requirements of the industries. Thus, a decision making approach for ERP system s...
In this study, we first introduce the fuzzy sets, soft sets, fuzzy soft sets and their related properties. We then present the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) that is one of classical Multiple Attribute Decision Making (MADM) methods. We also present the Grey Relation Method. In the main part of this study, we extend the TOPSIS method on the fuzzy soft se...
Finding the appropriate weight for each criterion is one of the main points in Multi Attribute Decision Making (MADM) problems. Shannon’s entropy method is one of the various methods for finding weights discussed in the literature. However, in many real life problems, the data for the decision making processes cannot be measured precisely and there may be some other types of data, for instance,...
Due to the complexity and uncertainty of objective things, interval-valued intuitionistic fuzzy (I-VIF) numbers are often used describe attribute values in multiple-attribute decision making (MADM). Sometimes, there correlations between attributes. In order make decision-making result more reasonable, it is necessary take correlation factors into account. Therefore, study MADM based on attribut...
The design of weight is one of the important parts in fuzzy decision making, as it would have a deep effect on the evaluation results. Entropy is one of the weight measure based on objective evaluation. Non--probabilistic-type entropy measures for fuzzy set and interval type-2 fuzzy sets (IT2FS) have been developed and applied to weight measure. Since the entropy for (IT2FS) for decision making...
One of the most important factors in quality improvement of transportation, communication, accommodation, utilities, etc is urban infrastructures development. Certainly, with the intention of achieving the goal, approaches to urban infrastructures management must be ranked by Scientific and logical evaluation and calculation. This paper presents evaluation of governmental, private, and public–p...
Attribute weighting is a task of paramount relevance in multi-attribute decision-making (MADM). Over the years, different approaches have been developed to face this problem. Despite effort community, there lack consensus on which method most suitable one for given problem instance. This paper second part two-part survey attribute methods MADM scenarios. The first introduced categorization five...
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