def optimist(self, pt):
self.__check_input_params()
profiles = self.profiles
assignments = AlternativesAssignments([])
for action_perfs in pt:
cat_rank = 0
for i, profile in enumerate(profiles):
outr = self.__outrank(action_perfs, self.criteria,
self.bpt[profile], self.lbda)
if outr != "-":
cat_rank += 1
cat_id = self.categories[cat_rank]
id = action_perfs.id
alt_affect = AlternativeAssignment(id, cat_id)
assignments.append(alt_affect)
return assignments
def optimist(self, pt):
self.__check_input_params()
profiles = self.profiles
assignments = AlternativesAssignments([])
for action_perfs in pt:
cat_rank = 0
for i, profile in enumerate(profiles):
outr = self.__outrank(action_perfs, self.criteria,
self.bpt[profile], self.lbda)
if outr != "-":
cat_rank += 1
cat_id = self.categories[cat_rank]
id = action_perfs.id
alt_affect = AlternativeAssignment(id, cat_id)
assignments.append(alt_affect)
return assignments
def pessimist(self, pt):
self.__check_input_params()
profiles = self.profiles[:]
profiles.reverse()
assignments = AlternativesAssignments([])
for action_perfs in pt:
cat_rank = len(profiles)
for i, profile in enumerate(profiles):
s_ab = self.credibility(action_perfs, self.bpt[profile],
profile)
if not eq(s_ab, self.lbda) and s_ab < self.lbda:
cat_rank -= 1
cat_id = self.categories[cat_rank]
id = action_perfs.id
alt_affect = AlternativeAssignment(id, cat_id)
assignments.append(alt_affect)
return assignments
def pessimist(self, pt):
self.__check_input_params()
profiles = self.profiles[:]
profiles.reverse()
assignments = AlternativesAssignments([])
for action_perfs in pt:
cat_rank = len(profiles)
for i, profile in enumerate(profiles):
s_ab = self.credibility(action_perfs, self.bpt[profile],
profile)
if not eq(s_ab, self.lbda) and s_ab < self.lbda:
cat_rank -= 1
cat_id = self.categories[cat_rank]
id = action_perfs.id
alt_affect = AlternativeAssignment(id, cat_id)
assignments.append(alt_affect)
return assignments
