Knowledge measure for the q‐rung orthopair fuzzy sets

q-Rung Orthopair Fuzzy Modified Dissimilarity Measure Based Robust VIKOR Method and its Applications in Mass Vaccination Campaigns in the Context of COVID-19

“…The BIqROFV and WIqROFV are calculated by using (22) and (23). Since c 1 ∈ E b , therefore, ρ + 1 = y 1 = (0.7, 0.8) and ρ − 1 = y 3 = (0.55, 0.9).…”

“…Step 1 is already followed and a qROF decision matrix is obtained in Table 4. In step 2, the BIqROFV ρ + j and WIqROFV ρ − j are computed for each c j ∈ E, by using (22) and (23). The ρ + j and ρ − j are given in Table 5.…”

“…That is why now a day many researchers are showing keen interest in qROFSs. Khan et al [22] defined the knowledge measures for qROFSs. The graphical ranking technique based on hesitancy index and entropy measure was expounded by Khan et al [23].…”

Improved cosine and cotangent function-based similarity measures for q-rung orthopair fuzzy sets and TOPSIS method

“…A. Algorithm 1 with weighted cosine function-based similarity measure: First we solve this problem using Algorithm 1 and weighted cosine function-based similarity measure defined in (20). Let the weight vector of the criteria is ω = {0.22, 0.20, 0.33, 0.25}.…”

“…Moreover, a qROFS contains two grades are called truth and falsity with a rule that is the sum of the q th power of both grades is restricted to the unit interval. qROFS has been implemented in numerous areas due to its ability to handle uncertain information more effectively [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]24]. It provides the more space to choose orthopair for representing the information than IFSs and PyFSs.…”