In this paper, a multi-objective intuitionistic fuzzy linear fractional programm ing problem is discussed with two different methods namely Kanti Swarup’s Fractional algorithm and weighting factor method in which the constraints are triangular intuitionistic fuzzy number. The optimal solutions are verified for the proposed methods. Numerical examples are provided to check the feasibility of the...

The main purpose of this paper is to study the weighting analysis of clinical skin physiology assessment. First of all, we analyze skin's physiological factors, which include four factors: Cutometer, PH value, Sebumeter and Mx16. A detailed description of each influence factors is offered and based on the analysis of 61 experimental objects’ testing numerical values. Then, using rough set metho...

We propose a product design optimization method that maximizes the integrated satisfaction level for evaluative factors. Product designs include many evaluative factors that have complex interrelationships. To cope with such circumstances, we construct strategies and a practical method to obtain optimum design solutions. First, the evaluative items for the product are listed and each item is de...

Since the PID tuning formula of Ziegler-Nichols step test, perhaps the best known, the process control literature is still showing lots of PID control schemes to improve the closed-loop stability. In this paper, using the relationship between the PID and generalized minimum variance (GMV) controller and adjusting online the control weighting factor by an adaptive learning algorithm of first-ord...

The frequency of chronic diseases such as cardiovascular diseases has significantly increased in recent years. This study is a developmental research which is categorized as descriptive-survey in terms of data collection method. The aim of this study is to prioritize 22 districts of Tehran for the purpose of prevention from cardiovascular diseases. In the present study, after extraction of the ...

In this paper, we proposed a temporal error concealment (EC) using recursive boundary matching method. The proposed recursive boundary matching method improves the spatial correlation of the macroblocks (MBs) by reusing the pixels of the concealed MB and control weighting factor of the concealed MB recursively. And proposed algorithm has both forward concealment and backward concealment to prev...

The Possibilistic C-Means clustering algorithm, in its original form, is not very suitable for clustering due to the undesirable tendency to create coincident clusters and to converge to a “worthless” partitions in the case of poor initializations, but it provides robustness to noise and intuitive interpretation of the membership values. Recently, an extension of the PCM has been presented by T...

suitability analysis is a prerequisite for sustainable agricultural production and it involves evaluation of the environmental parameters. the development and creation of appropriate points for this land use without considering environmental capability will result in the appearance of several ecological, economic, and social problems. the multi-criteria decision making (mcdm) models were used f...

the goal in information retrieval is to enable users to automatically and accurately retrieve data relevant to their queries. One possible approach to this problem is to use the vector space model, which models documents and queries as vectors in the term space. The components of the vectors are determined by the term weighting scheme. This paper compared between a selected set from the availab...

In data mining, we often encounter high dimensional and noisy features, which may not only increase the load of computational resources but also result in the problem of model overfitting. Feature selection is often adopted to address this issue. In this paper, we propose a novel feature selection method based on multi-class SVM, which introduces the scaling factor with a flexible parameter to ...