Fotoenergetikada nanostrukturali yarimo‘tkazgich materiallar II xalqaro ilmiy anjumani

 
19-20 noyabr 2021 yil 
101 
Various techniques have been proposed, including Ashby’s method, technique 
for order preference by similarity to ideal solution (TOPSIS), Vlse Kriterijumska 
Optimizacija Kompromisno Resenje (VIKOR), multi attribute decision making 
(MADM), Analytical Hierarchy Process (AHP) and Multi – Objective 
Optimization on the basis of Ratio Analysis (MOORA), etc [4]. Ashby’s method is 
difficult to be applied in cases which involve multiple criteria of selection [4-6]. 
Thus, the MOO techniques like TOPSIS and VIKOR are used in the selection 
which was done by Deshmukh et al in [1]. However, there exist inherent problems 
of impersonal and subjective factors in the TOPSIS and VIKOR concerning their 
scaling or normalization process [4].
Recently, a new multi – object optimization approach named "intersection" 
method for MOO was proposed in the viewpoints of set theory and probability 
theory [4], it attempts to solve the inherent problems of impersonal and subjective 
factors in the previous multi – object optimizations. A new idea of favourable 
probability was proposed to reflect the favourable degree of the candidate in the 
optimization, all performance utility indicators of all candidates are divided into 
both beneficial or unbeneficial types due to their function and preference of 
decision maker, each performance utility indicator of the candidate contributes a 
partial favourable probability in linear type quantitatively, and the total favourable 
probability of a candidate is the product of all partial favourable probabilities in the 
viewpoints of probability theory and "intersection" of set theory, which is an 
unique decisive index in the overall selection process competitively. The new multi 
– object optimization method
 
was also extended in application of multi - objective 
orthogonal test design method (OTDM) and uniform test design method (UTDM) 
as well successfully [4]. 
In this paper the new multi – object optimization method
 
is used to perform the 
overall selection of material for the RF-MEMS shunt capacitive switch. 
Furthermore, results obtained from these methods are compared with those of 
TOPSIS and VIKOR methods. The optimal objectives for this purpose are low pull 
– in voltage, low RF loss, high thermal conductivity and maximum displacement 
of the beam structure.