Vegetation composition is fuzzy by its very nature. Classification approaches, despite their robustness, will always lead to a degradation of the original information (Palmer et al. 2002). Palmer (2007) explicitly states that: ‘we have no comprehensive theory governing the geometry of environmental variation. Some environmental gradients vary smoothly and linearly [...]. Other gradients may be ...

In this paper, we define a new algebraic structure of an induced fuzzy k-ideal of a HX ring and some related properties are investigated. The purpose of this study is to implement the fuzzy set theory and ring theory in fuzzy HX k-ideals of a HX ring. We also establish the relation between fuzzy HX ideals and fuzzy HX k-ideals of a HX ring . Characterizations of level subsets of a fuzzy HX k-id...

The river ranking problem is a strategic issue and has significant impact on the efficiency of a river system. On the other hand, the river ranking among many alternatives presents a multi criteria decision making (MCDM) problem. Hence fuzzy set theory can be applied. Fuzzy Analytic Hierarchy process (FAHP) technique is used to rank alternatives to find the efficient use of the river system. Fu...

The publication opportunities in science require knowing the existing gaps academic debate. In recent decades, scholars specializing fuzzy theory and applied methodologies have experienced an unprecedented evolution of field. Sustainable Development Goals (SDGs) shaped way socio-technical transitions use to solve environmental problems. This study conducts a systematic literature review article...

Risk analysis plays an important role in many application systems. The current researches prefer to use fuzzy set theory for risk analysis. In this paper, we present a new fuzzy risk analysis method based on generalized fuzzy numbers. Firstly, we define new arithmetic operations between generalized fuzzy numbers. Then, we propose a new method to measure the degree of similarity between generali...

in this work, we define fuzzy soft ($fs$) matrices and theiroperations which are more functional to make theoretical studies inthe $fs$-set theory. we then define products of $fs$-matrices andstudy their properties. we finally construct a $fs$-$max$-$min$decision making method which can be successfully applied to theproblems that contain uncertainties.

background and objectives: surgical cancelation is a significant source of time and resource waste, patientsafety risk, and stress for patients and their families. in this study, a risk management-based approach is developed to prioritize factors contributing to surgical cancellation. methods: factors leading to surgical cancellation were comprehensively classified based on literature review.a...

During the last years, the fuzzy set theory was one of the most innovative,active and fruitful areas of research for applications, especially in the field of industrial processes. The aim of this brief introduction is to give some ideas about the foundations of the fuzzy system: defintions, semantics and applications. We will deal also with the relation with Artificial Neural Network (ANN) and ...

In a global market, companies must deal with a high rate of changes in business environment. Most manufacturing systems fail to sustain productivity when process disturbances occur. Therefore, it is necessary to create resilient production systems with the ability to return, rapidly, to the initial stage or to an improved one. The parameters, variables and restrictions of the production system ...