نتایج جستجو برای: decision makers dms
تعداد نتایج: 372259 فیلتر نتایج به سال:
In this paper, a method for deriving a group priority vector in the Fuzzy Analytic Network Process (FANP) is proposed. By introducing importance weights of multiple decision makers (DMs) based on their experiences, the Fuzzy Preferences Programming Method (FPP) is extended to a fuzzy group prioritization problem in the FANP. Additionally, fuzzy pair-wise comparison judgments are presented rathe...
A large body of intuitive and analytical models has evolved over the last several decades to assist decision makers (DMs) in enterprise architecture (EA) framework selection. While these models have made great strides in EA framework evaluation, the intuitive models lack a structured framework and the analytical models do not capture intuitive preferences of multiple DMs. Furthermore, crisp dat...
This article presents a more improved consensus-based method for dealing with multi-person decision making (MPDM) that uses hesitant fuzzy preference relations (HFPRís) arenít in the usual format. We proposed Lukasiewicz transitivity (TL-transitivity)-based technique establishing normalised (NHFPRís) at most essential level, after that, model based on consensus is constructed. After transitive ...
Decision-making represents a very popular field with many developed approaches. However, still exists the need for creation of novel integrated models such as well is case in this paper. The Improved Fuzzy Stepwise Weight Assessment Ratio Analysis (IMF SWARA) method, Dombi weighted geometric averaging (FDWGA) operator and PESTEL (P-Political, E-Economic, S-Social, T-Technological, E-Environment...
In the multi-attribute utility theory the utility functions are usually constructed by dots. It concerns both the lottery’s method and the value increasing method. In the both cases the utility function is constructed in the absolute scale [0,1] that causes inconveniences for experts. The comparative assessments look more preferable for decision-makers. The paired comparison matrix (PCM) looks ...
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