Add to ORKGhunguyen nmsuedu fmkoshvladikg csutepedu olga eceutepedu In many reallife situations we cannot di rectly measure or estimate the desired quan tity r In these situations we measure or es timate other quantities r
Fuzzy techniques have been originally designed to describe imprecise ( fuzzy ) expert knowledge. Som...
In this article the theoretical generalization for representation of arithmetic operations with fuzz...
Fuzzy techniques have been originally designed to describe imprecise (\fuzzy") expert knowledge...
In many real-life situations, we cannot directly measure or estimate the desired quantity r. In the...
Abstract. Real quantitative data and other valuable informations are often not precise numbers but m...
Fuzzy numbers are a mathematical concept used to deal with uncertainty in decision-making. They are ...
Fuzzy techniques have been originally designed to describe imprecise (\fuzzy") expert knowledge...
In many practical applications, we need to process data -- e.g., to predict the future values of dif...
summary:The development of effective methods of data processing belongs to important challenges of m...
AbstractIt is known that processing of data under general type-1 fuzzy uncertainty can be reduced to...
summary:The development of effective methods of data processing belongs to important challenges of m...
summary:The development of effective methods of data processing belongs to important challenges of m...
In traditional statistics, we process crisp data - usually, results of measurements and/or observati...
When we know for sure which values are possible and which are not, we have crisp uncertainty -- of w...
When we know for sure which values are possible and which are not, we have crisp uncertainty -- of w...
Fuzzy techniques have been originally designed to describe imprecise ( fuzzy ) expert knowledge. Som...
In this article the theoretical generalization for representation of arithmetic operations with fuzz...
Fuzzy techniques have been originally designed to describe imprecise (\fuzzy") expert knowledge...
In many real-life situations, we cannot directly measure or estimate the desired quantity r. In the...
Abstract. Real quantitative data and other valuable informations are often not precise numbers but m...
Fuzzy numbers are a mathematical concept used to deal with uncertainty in decision-making. They are ...
Fuzzy techniques have been originally designed to describe imprecise (\fuzzy") expert knowledge...
In many practical applications, we need to process data -- e.g., to predict the future values of dif...
summary:The development of effective methods of data processing belongs to important challenges of m...
AbstractIt is known that processing of data under general type-1 fuzzy uncertainty can be reduced to...
summary:The development of effective methods of data processing belongs to important challenges of m...
summary:The development of effective methods of data processing belongs to important challenges of m...
In traditional statistics, we process crisp data - usually, results of measurements and/or observati...
When we know for sure which values are possible and which are not, we have crisp uncertainty -- of w...
When we know for sure which values are possible and which are not, we have crisp uncertainty -- of w...
Fuzzy techniques have been originally designed to describe imprecise ( fuzzy ) expert knowledge. Som...
In this article the theoretical generalization for representation of arithmetic operations with fuzz...
Fuzzy techniques have been originally designed to describe imprecise (\fuzzy") expert knowledge...