نتایج جستجو برای: fuzzy multi criteria decision making approach
تعداد نتایج: 2332032 فیلتر نتایج به سال:
The paper presents a brief description of algorithms for solving fuzzy multicriteria decision making problems. The evaluations of the alternatives by the criteria can be real numbers by different scales, fuzzy preference relations by each criterion or trapezoidal fuzzy numbers by the criteria. The weights of the criteria can be real numbers, weighting functions or fuzzy relation between the cou...
There are many opportunities and threats in the decision-making environment for managers, and an organization must use research and information systems to change, monitor, and anticipate this environment. Futurism reflects how tomorrow reality gives birth to tomorrow's reality is. The purpose of this research; Analyzing the role of futures studies in the existing patterns of critical factors of...
abstract purpose of this paper: the objectives of this paper are two folds: (1) utilizing hierarchical fuzzy technique for order preference by similarity to ideal solution (topsis) approach to evaluate the most suitable rfid-based systems decision, and (2) to highlight key risks and benefits of radio frequency identification technology in healthcare industry. design/methodology/approach: resear...
Background and Aim: Nowadays selecting an appropriate technology for storing and disposal of health care wastes is a difficult task. For example, selecting an optimum technology for storing and disposal of hospital wastes is a complex multi-criteria decision-making process, which requires consideration of qualitative and quantitative factors and criteria. This paper presents a new decision-maki...
In the last few years, several Multi-criteria Decision Making (MCDM) methods have been proposed. One of these methods, known as TODIM (an acronym in Portuguese for Interative Multi-criteria Decision Making), has been extended to uncertain MCDM problems. Firstly, using fuzzy numbers and recently using intuitionistic fuzzy numbers. The recently developed intuitionistic fuzzy TODIM, for short, IFT...
In the fuzzy set theory, information measures play a paramount role in several areas such as decision making, pattern recognition etc. In this paper, similarity measure based on cosine function and entropy measures based on logarithmic function for IFSs are proposed. Comparisons of proposed similarity and entropy measures with the existing ones are listed. Numerical results limpidly betoken th...
Multi-criteria group decision-making is a process in which decision makers assess the performance of alternatives on the basis of conflicting criteria to opt the most worthy alternative as solution. TOPSIS and ELECTRE are effective and commonly used methods to solve multiple criteria decision-making problems. The aim of this study is to propose two new models, namely, complex Pythagorean fuzzy ...
Analytical hierarchy process (AHP) as multiple criteria decision making tools can be used in the problems with spatial nature like selection of construction contractor. In this study the application of AHP and its weakness and strength and ultimately the fuzzy modified analytical hierarchy process (FAHP) is proposed after the concept of fuzziness, uncertainty and vagueness. A triangular fuzzy u...
Decision making in an uncertain environment is a complex task for decision makers. Fuzzy multi criteria decision making methods are proposed in the literature where the subjective criteria and the weights of all criteria are assessed in linguistic variables since conventional methods cannot take into consideration the subjectivity and uncertainty in the decision process. Fuzzy ELECTRE I (Elimin...
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...
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