Another Method For DefuzziCation Based on Regular Weighted Point

A new method for the defuzzification of fuzzy numbers is developed in this paper. it iswell-known, defuzzification methods allow us to find aggregative crisp numbers or crisp setfor fuzzy numbers. but different fuzzy numbers are often converted into one crisp number.in this case the loss of essential information is possible. it may result in inadequate finalconclusions, for example, expert estimation problems, prediction problems, etc. accordingly,the necessity to develop a method for the defuzzification of fuzzy numbers, allowingus to save their informative properties has arisen. the purpose of this paper is to developsuch a method. the method allows us to find aggregative intervals for fuzzy numbers.these intervals are called the regular weighted intervals. we start with the definition ofregular weighted points for fuzzy numbers. the regular weighted interval for fuzzy numberis defined as the set of regular weighted points of all unimodal numbers, that belong tothis number. some propositions and examples about regular weighted point and regularweighted intervals properties are offered.