نتایج جستجو برای: fuzzy analytic hierarchy process fuzzy ahp
تعداد نتایج: 1489419 فیلتر نتایج به سال:
BACKGROUND In order to take into account the inherent uncertainties during product usability evaluation, Zhou and Chan [1] proposed a comprehensive method of usability evaluation for products by combining the analytic hierarchy process (AHP) and fuzzy evaluation methods for synthesizing performance data and subjective response data. This method was designed to provide an integrated framework co...
For the purpose of the sustainable development in the global semiconductor industry, emerging three-dimensional integrated circuit (3DIC) integration technologies have demonstrated their importance as potential candidates for extending the lifespan of Moore’s Law. This study aimed to explore a technology selection process involving a three-stage fuzzy multicriteria decision-making (MCDM) approa...
The main purpose of this paper is to present a fuzzy multi-criteria decision making (FMADM) model for appropriate location selection of a health center. Therefore, we identify sixteen criteria and sub-criteria for selecting a health center location. These criteria and sub-criteria have been obtained from literature reviews and practical interviews. This paper proposes a method which combines th...
Flood risk assessment is an important tool for urban planning, land development, and hydrological analysis. The flood risks are very high in arid countries due to the nature of rainfall resulting from thunderstorms cover, which comprises mostly dry soil. Several methods have been used assess risk, depending on various factors that affect likelihood occurrence. However, selection these weight as...
This paper proposes a two-stage fuzzy logarithmic preference programming with multi-criteria decisionmaking, in order to derive the priorities of comparison matrices in the analytic hierarchy pprocess (AHP) and the analytic network process (ANP). The Fuzzy Preference Programming (FPP) proposed by Mikhailov and Singh [L. Mikhailov, M.G. Singh, Fuzzy assessment of priorities with application to c...
The Fuzzy Analytic Network Process (ANP) is generally used for solving multicriteria decision making (MCDM) problems by considering the pairwise comparison between criteria/sub-criteria, and inner/outer dependencies among criteria. Linguistic expressions are used for experts’ judgements, and these judgements are imprecise and vague. Hence, incorporating fuzziness with multi-criteria decision ma...
the present research aims to apply several approaches for suitability evaluation of lands under cultivation ofalfalfa and barley in chaharmil mechanized farming center, ardestan town, isfahan province, iran. climatic andsoil maps of the climate and soil data were provided in raster format. land evaluation carried out using maximumlimitation, parametric and multi-criteria (analytical hierarchy p...
با توجه به خشکسالی های اخیر در دنیا، اکتشاف منابع آب زیرزمینی امری بسیار ضروری است. این طرح تحقیقاتی با توجه به قرارگیری کشور ایران در محدوده خطر خشکسالی به مطالعه آبهای کارستی میپردازد. محدوده مطالعاتی در این پژوهش در مرکز کشور ایران، استان سمنان، شهرستان شاهرود، بخش بسطام قرار دارد. عوامل متعددی در پدیده کارسـتی شـدن و تشکیل منابع آب در سـازندهای کربناته حائز اهمیت هستند، که از مهمترین آنه...
supplier evaluation and selection is complex which caused by the dynamic and fuzzy environment. current mcdm methods do not consider the nature of the environment that can affect the process of evaluation and ranking. the aim of this study is to propose a dynamic fuzzy hybrid mcdm method for evaluation, ranking and selection. the proposed method employs fuzzy analytic hierarchy process (fahp) f...
Warehouse location selection is a multi-criteria decision problem including both quantitative and qualitative criteria and has a strategic importance for many companies. The conventional methods for warehouse location selection are inadequate for dealing with the imprecise or vague nature of linguistic assessment. To overcome this difficulty, fuzzy multi-criteria decision-making methods are pro...
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