نتایج جستجو برای: fuzzy decision

تعداد نتایج: 427159  

2009
Elpiniki I. Papageorgiou

This paper proposes a new methodology for designing Fuzzy Cognitive Maps using crisp decision trees that have been fuzzified. Fuzzy cognitive map is a knowledge-based technique that works as an artificial cognitive network inheriting the main aspects of cognitive maps and artificial neural networks. Decision trees, in the other hand, are well known intelligent techniques that extract rules from...

2011
Meimei Xia Zeshui Xu

In the process of decision making, the decision makers usually provide inconsistent fuzzy preference relations, and it is unreasonable to get the priority from an inconsistent preference relation. In this paper, we propose a method to derive the multiplicative consistent fuzzy preference relation from an inconsistent fuzzy preference relation. The fundamental characteristic of the method is tha...

2011
Xiaowei HE Hepu DENG

This paper presents an area-based approach to ranking fuzzy numbers in fuzzy decision making. To ensure that all the information that a fuzzy number has is adequately considered, the concepts of the absolute area and the degree of deviation of a fuzzy number are integrated into the process of comparing and ranking fuzzy numbers. To help the decision maker better address the risk inherent in the...

Journal: :iranian journal of fuzzy systems 2012
tofigh allahviranloo rahim saneifard

ranking fuzzy numbers plays a very important role in decision making and some other fuzzy application systems. many different methods have been proposed to deal with ranking fuzzy numbers. constructing ranking indexes based on the centroid of fuzzy numbers is an important case. but some weaknesses are found in these indexes. the purpose of this paper is to give a new ranking index to rank vario...

2015
ZAKARYA ZYADA

In this paper, two fuzzy algorithms for automatic decision making for antipersonnel landmine detection form sensors data. The first is a “feature in-decision out” fuzzy fusion algorithm for two sensors measurements, namely a ground penetrating radar (GPR) and a metal detector (MD). The inputs to the fuzzy fusion algorithm are features extracted from both GPR and MD measurements while the output...

Journal: :iranian journal of fuzzy systems 0
hua wu key laboratory of ultrafast photoelectric diagnostics technology, xi'an institute of optics and precision mechanics of chinese academy of sciences, xi'an, china and university of chinese academy of sciences, beijing, china. xiuqin su key laboratory of ultrafast photoelectric diagnostics technology, xi'an institute of optics and precision mechanics of chinese academy of sciences, xi'an, china

interval-valued intuitionistic fuzzy sets (ivifss) are widely used to handle uncertainty and imprecision in decision making. however, in more complicated environment, it is difficult to express the uncertain information by an ivifs with considering the decision-making preference. hence, this paper proposes a group generalized interval-valued intuitionistic fuzzy soft set (g-givifss) which conta...

2014
A. Solairaju P. John Robinson S. Rethina Kumar

The Multiple Attribute Group Decision Making (MAGDM) problems are investigated in which all the information provided by the decision-makers is presented as interval-valued intuitionistic fuzzy decision matrices, and the information about attribute weights is partially known. Three different models are utilized for calculating the completely unknown attribute weights which are then used for aggr...

جویبار, سبحان, سلیمی فرد, خداکرم,

Fuzzy TOPSIS algorithm is one of the common decision making techniques which is applied in many different decision situations. Because of its high-effectiveness under uncertainty conditions, management scientists always try to improve the algorithm. Based on fuzzy TOPSIS, many algorithms have been developed for different decision situations. In fact, the efficiency of the algorithm is an import...

2015
Eero Lehtonen Raimo P. Hämäläinen

In operations research one often faces scenarios and phenomena exhibiting imprecision and uncertainty. Stochastic aspects of these scenarios are often accounted for by means of probabilistic models. In addition to these models, fuzzy augmentation to traditional decision analysis has been advocated as a possible method that takes into account imprecision in quantities available to the decision m...

2012
Debashree Guha Debjani Chakraborty

The aim of this paper is to adopt a compromise ratio (CR) methodology for fuzzy multi-attribute single-expert decision making proble. In this paper, the rating of each alternative has been described by linguistic terms, which can be expressed as triangular fuzzy numbers. The compromise ratio method for fuzzy multiattribute single expert decision making has been considered here by taking the ran...

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