Suitable management and treatment of healthcare waste (HCW) have become a key issue due to its potential risk human health the environment, predominantly in emerging nations. The selection an optimal HCW (HCWT) option is complicated multicriteria decision-making (MCDM) problem that includes several incompatible qualitative quantitative attributes. This article presents extended MCDM methodology...

Empirical studies show that individual investors do not always behave rationally and do not use standard investment portfolio selection tasks. In this paper we focus on investor choices and the basic elements affecting them. The paper presents optimization model based on a measure of investor satisfaction. The model is created on the basis of surveys conducted among Polish individual investors....

In this paper, we develop a hybrid state-space fuzzy model-based controller with dual-rate sampling for digital control of chaotic systems. Takagi–Sugeno (TS) fuzzy model is used to model the chaotic dynamic system and the extended paralleldistributed compensation technique is proposed and formulated for designing the fuzzy model-based controller under stability conditions. The optimal regional...

The construction of divergence measures between two Pythagorean fuzzy sets (PFSs) is significant as it has a variety applications in different areas such multicriteria decision making, pattern recognition and image processing. main purpose this study to introduce an information-theoretic so-called Jensen-Rényi (PFJRD) PFSs. strength characterization the proposed lie its practical which are very...

In this paper we describe a method to nd the Instantaneous Secretion Rate of a hormone. The dynamics of the relation between secretion rate and peripheral plasma hormone concentration is rst identiied by using learning signals. The fuzzy identii-cation method is based on fuzzy clustering and optimal output predefuzziication. The proposed method leads to a fuzzy inference system which is able to...

Fermatean fuzzy sets are more powerful than sets, intuitionistic and Pythagorean in handling various problems involving uncertainty. The distance measures the non-standard frameworks have got their applicability areas such as pattern analysis, clustering, medical diagnosis, etc. Also, knowledge played a vital role computing criteria weights multicriteria decision-making problems. As there is no...