نتایج جستجو برای: multi criteria decision making mcdm
تعداد نتایج: 1184584 فیلتر نتایج به سال:
population growth as well as development of industry and agriculture has increased the demand and competition over water resources in large watersheds especially in zayandeh rud basin and severely affected on agriculture and environment sectors. hence, providing a best scenario for the allocation of water in this basin is essential. in this study, due to alternating periods of wet, drought and ...
The objective of this study is to provide an effective multi criteria decision making (MCDM) approach with group decision making to evaluate different smart phone alternatives according to consumer preferences. The choice of the most appropriate phone is a very complex decision, involving several perspectives. In such complex situations intuitionistic fuzzy sets with TOPSIS (IF-TOPSIS) can be u...
In Gal and Hanne [Eur. J. Oper. Res. 119 (1999) 373] the problem of using several methods to solve a multiple criteria decision making (MCDM) problem with linear objective functions after dropping nonessential objectives is analyzed. It turned out that the solution does not need be the same when using various methods for solving the system containing the nonessential objectives or not. In this ...
We present ALARM (HierarchicAL AppRoach for AnoMaly Detection), a hierarchical approach for correlation and prioritization of alerts in distributed networks. The goal is to monitor, classify, correlate and assess a large number of alerts generated at spatially distributed sites on the Internet. The alerts correspond to anomalies and hence potential unknown threats. To facilitate our analysis, w...
Multiple Criteria Decision Making or multi-attribute (MCDM) problems refer to performing preference decisions (e.g. ranking, ordering, prioritization, selection) over several available alternatives or objects that are characterized by multiple, usually conflicting, attributes or criteria. MCDM techniques have been and are still being encountered in a wide range of human activities, from the pro...
suitability analysis is a prerequisite for sustainable agricultural production and it involves evaluation of the environmental parameters. the development and creation of appropriate points for this land use without considering environmental capability will result in the appearance of several ecological, economic, and social problems. the multi-criteria decision making (mcdm) models were used f...
In modeling Multi-Criteria Decision Making (MCDM) problem, we usually assume that the decision maker is able to elicitate his preferences with precision and without difficulty. However, in many situations, the expert is unable to provide his assessment with certainty or he is unwilling to quantify his preferences. To deal with such situations, a new MCDM model under uncertainty is introduced. I...
According to the Multi-criteria Decision-making (MCDM) problem with criterion value for triangular fuzzy number, a kind of a MCDM method based on fuzzy number and Dempster-Shafer evidence theory is proposed. By means of the ability to deal with the uncertain information of evidence theory, the method first constructs the evidence body and the Basic Probability Assignment (BPA) function. In the ...
Various multi-criteria decision making (MCDM) methods have been proposed to solve diverse applications of decision problems. One of the MCDM methods is additive weighting-based method. However, this method is not explicitly disseminated and its applications are not-well received by many MCDM enthusiasts. This paper presents a review of the applications of simple additive weighting (SAW) and fuz...
DS/AHP is a technique for multi-criteria decision making (MCDM), based on the Dempster-Shafer Theory of evidence (DST) and the Analytic Hierarchy Process (AHP). Since its introduction it has been developed and applied by a number of authors, as well as form the foundation for other DST related MCDM techniques. This paper reviews the evolution and impact of DS/AHP, culminating in a critical pers...
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