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Each year, larger amounts of worn out products are generated and their disposal has made the problem of best product end-of-life (EOL) scenario selection an important problem. Due to uncertain markets and technological advancements, uncertainty plays a vital role in any production related decision-making process. Here, EOL selection problem under uncertainty is addressed through introducing a new...
Traditionally, the methods used for constructing the confidence intervals of process capability indices(PCIs) are based on probability density function. Normally the approximate confidence intervals are obtained according to the approximate distribution since it is not easy to get the accurate sampling distribution of PCIs estimations. In this article, a methodology based on fuzzy set theory and Buckley's...
Fuzzy sets and intuitionistic fuzzy sets can't handle imprecise, indeterminate, inconsistent, and incomplete information. Neutrosophic sets play an important role to overcome this difficulty. A neutrosophic set has a truth membership function, indeterminate membership function, and a falsehood membership functions that can handle all types of ambiguous information. New type of union and intersection...
The main aim of this work is to discuss the theory of cooperative games and weighted voting, namely the basic setting and the concept of voting power under intuitionistic fuzzy (I-fuzzy) settings. The power in this case is expressed by two widely used power indices, by the Shapley-Shubik power index, and by the Banzhaf power index.
Today's changing and competitive market forces the organizations to consider uncertain factors in any production related decision making efforts. On the other hand, considering sustainability in choosing a portfolio of production projects to make justice between generations is essential. Achieving satisfactory results in sustainable goals without considering uncertainty is almost out of the question...
In this paper, we propose an automatic image thresholding method based on an index of fuzziness and a fuzzy similarity measure. This work aims at overcoming the limitation of the existing method which is semi-supervised. Using an index of fuzziness, two initial regions of gray levels located at the boundaries of the histogram are defined based on the fuzzy region. Then the threshold point is found...
In the field of data analysis, the use of metrics is a classical way to assess pairwise similarity. Unfortunately the popular distances are often inoperative because of the noise, the multidimensionality and the heterogeneous nature of data. These drawbacks lead us to propose a similarity index based on fuzzy set theory. Each object of the dataset is described with the vector of its fuzzy attributes...
Most of current diagnosis methods of hydroelectric generator unit (HGU) performed not well when lacking domain expert knowledge, in order to address this problem, we propose a novel residual diagnosis model based on wavelet neural network (RDM-WNN) and weighed fuzzy set theory for quantitative diagnosis of HGU in this paper. First, the main working condition parameters (MWCP) are extracted according...
How to find out the vulnerability and the potential failure mode in supply chain, then evaluating them means much to the protection and controlling of supply chain risks. Based on the supply chain reference operation model SCOR, this paper first gets the evaluation index system and the corresponding potential failure mode, then combined with the fuzzy set theory and grey relational theory, constructs...
The evaluation of the city public emergency capability is an important basis of the development of the city emergency capability. This paper made a evaluation to the eight sample cities based on the Fuzzy Set Theory. And the sample cities are choice by the three criteria such as disaster distribution, city type and geography location and so on. And they are Nanning, Harbin, Yinchuan, Shenyang, Jinan,...
Effectiveness of teaching and learning is the core of the education sector. It is an important issue for evaluating the teaching performance to improve the effectiveness of teaching. However, the evaluators have personal subjective preference or judgment depending on their individual knowledge or experiences. It is suitable for evaluators to use linguistic variables to express their subjective opinions...
As the global competition is growing increasingly, it is essential for firms to remain competitive and respond to the rapidly changing. In this case, firms need to establish an effective supply chain management in which supplier selection is one of the most critical activities required to be performed. Supplier selection problem is considered as a multiple-criteria decision making (MCDM) problem including...
A function is proposed for descritizing and classifying the uncertain data of multi-attribute decision-making (MADM) datasets using a hybrid scheme incorporating fuzzy set theory, Rough Set (RS) theory and a modified form of the PBMF index function. The proposed MADM index function is used to extend the applicability of the single-attribute decision-making (SADM) function. The validity of the proposed...
In this paper, a new method for handling multicriteria fuzzy decision-making problems based on interval-valued fuzzy sets is presented. The proposed method allows the degrees of satisfiability and non-satisfiability of each alternative with respect to a set of criteria to be represented by interval-valued fuzzy sets, respectively. Furthermore, the proposed method allows the decision-maker to assign...
Participatory Budgeting (PB) is a decision-making process in which citizens deliberate and negotiate over the distribution of public resources. One common aspect to all PB is the existence of steps in which the society participate of decision through voting procedure. Usually these voting procedures are based on majority criteria without consider information about preference degree. Consequently,...
As tacit knowledge is stored in people's heads and is difficult to be articulated, if we want to manage it pertinently we should assess it firstly. Researches on the tacit knowledge assessment are being carried out in many related fields. However, few researches are done on determining the weights of measurement items which are used to assess one's tacit knowledge. So this paper, based on the results...
Correct measurement and evaluation of service processes is still an enormous challenge for companies. Especially the need for interaction between customer and supplier during the production of a service makes it difficult to measure and evaluate services. In this context soft factors (like friendliness and competence of the employees) play an important role. The measurement and evaluation of soft...
The evaluation of river ecosystem health is significant for the sustainable development of cities. In practical application, evaluation criteria are shown in interval pattern. However, in some commonly used methods, evaluation criteria of discrete values are often taken. Furthermore, the simplification of index from interval pattern to the point value form affects the rationality and accuracy of evaluation...
Assessment of flood risk is important to flood disaster forewarning and decision management. However, there are many uncertainty factors that influence flood risk assessment. In order to solve this problem, this paper proposes an information fusion method based on DS-AHP (Dempster-Shafer and Analytic Hierarchy Process) to deal with uncertainty information, and fuzzy set theory and GIS methods are...
In the classical set theory, there is the well known correspondence between the equipollence of finite sets and the equality of natural numbers expressing their cardinalities. In the fuzzy set theory, an equivalent correspondence between the equipollence of finite fuzzy sets and the equality of generalized cardinals has been proposed in [1]. This paper is devoted to the situation when we consider...
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