def FromAltCrtTable(altCrtMat, crtName):
epsilon = 1e-307
crtNames = altCrtMat.CriterionNames()
altNames = altCrtMat.AlternativeNames()
crtIdx = crtNames.index(crtName)
if crtName not in crtNames:
return None
cmpTbl = AltCmpTable(crtName, altNames)
cmpMat = Matrix((len(altNames), len(altNames)))
valList = [
altCrtMat.AltCrtValue(altNames.index(altName), crtIdx)
for altName in altNames
]
for rowIdx in range(len(altNames)):
for colIdx in range(rowIdx, len(altNames)):
cmpMat[rowIdx][colIdx] = (valList[rowIdx] + epsilon) / (
valList[colIdx] + epsilon)
cmpMat[colIdx][rowIdx] = 1.0 / (cmpMat[rowIdx][colIdx] +
epsilon)
cmpTbl.SetComparisonMatrix(cmpMat.arr2d_)
cmpTbl.CalculateProperties()
return cmpTbl
def _LoadFromDomTree(self, domRoot): root = domRoot.getElementsByTagName(self.altcrtRootTag)[0] criteriaNamesNode = root.getElementsByTagName(self.criterionNamesTag)[0] #解析评价指标名称 self.crtNames_ = [self._GetText(criterionNameNode.childNodes) for criterionNameNode in criteriaNamesNode.getElementsByTagName(self.criterionNameTag)] evalCount = len(self.crtNames_) #解析评价目标-评价指标矩阵 altMatrixNode = root.getElementsByTagName(self.matrixTag)[0] altNodes = altMatrixNode.getElementsByTagName(self.altTag) altCount = len(altNodes) self.priorities_ = [0.0 for i in range(altCount)] self.mat_ = Matrix((altCount, evalCount)) self.altNames_ = ["" for i in range(altCount)] #读取矩阵 i_row = 0 for altNode in altNodes: self.altNames_[i_row] = altNode.getAttribute(self.altNameAttrTag) #读取alternative对应每个criteria的值 for altcrtFactorNode in altNode.getElementsByTagName(self.altcrtFactorTag): factor = float(self._GetText(altcrtFactorNode.childNodes)) altcrtFactorName = altcrtFactorNode.getAttribute(self.altcrtFactorNameAttrTag) i_col = self.crtNames_.index(altcrtFactorName) self.mat_[i_row][i_col] = factor i_row += 1
def __init__(self):
self.altNames_ = []
self.crtNames_ = []
self.mat_ = Matrix((0, 0))
self.priorities_ = []
self.criteria_ = []
self.rank2idxDict_ = {}
self.idx2rankDict_ = {}
return
def RemoveItem(self, itemName): try: idx = self.items_.index(itemName) except: return oldSize = len(self.items_) newSize = oldSize - 1 self.items_.remove(itemName) if newSize == 0: return oldSubMatLT = self.mat_.GetSub(0, 0, (idx, idx)) oldSubMatRT = self.mat_.GetSub(0, idx+1, (idx, oldSize-idx-1)) oldSubMatLB = self.mat_.GetSub(idx+1, 0, (oldSize-idx-1, idx)) oldSubMatRB = self.mat_.GetSub(idx+1, idx+1, (oldSize-idx-1, oldSize-idx-1)) self.mat_ = Matrix((newSize, newSize)) self.mat_.SetSub(0, 0, oldSubMatLT) self.mat_.SetSub(0, idx, oldSubMatRT) self.mat_.SetSub(idx, 0, oldSubMatLB) self.mat_.SetSub(idx, idx, oldSubMatRB)
def __init__(self, items, RIDict = None): """ 描述：初始化函数。 参数： items：AHP矩阵的要素名称列表 RIList: 随即一致性指标列表字典 """ self.items_ = items matSize = len(items) self.mat_ = Matrix((matSize, matSize)) self.propNames_ = ['MaxEigenvalue', 'CI', 'RI', 'CR', 'Consistancy'] self.RIDict_ = RIDict if self.RIDict_ == None: RIList = [ 0.00, 0.00, 0.58, 0.90, 1.12, #5个一组 1.24, 1.32, 1.41, 1.46, 1.49, 1.52, 1.54, 1.56, 1.58, 1.59 ] self.RIDict_ = dict([(i+1, RIList[i]) for i in range(len(RIList))]) self._InitializeProperties() return
def AddItem(self, itemName): self.items_.append(itemName) oldMat = self.mat_ self.mat_ = Matrix((len(self.items_), len(self.items_))) self.mat_.SetSub(0, 0, oldMat) return