Designing for optimal performance across a variety of situations involves compromise decisions. Through the investigation of a two-variable optimization of a vehicle for two different "races" the importance of this compromise design is underscored. The use of Pareto-minimal solution techniques, borrowed from game theory, aid in the design process by limiting the number of possible compromise de...

In order to solve the group decision making problems with ordinal interval preference information, a new decision method is proposed based on VIKOR method. The VIKOR method of compromise ranking determines a compromise solution, providing a maximum “group utility” for the “majority” and a minimum of an “individual regret” for the “opponent”, which is an effective tool in multi-attribute decisio...

The paper proposes TOPSIS method for solving multi-objective multi-level programming 13 problem (MO-MLPP) with fuzzy parameters via fuzzy goal programming (FGP). At first, λ cut 14 method is used to transform the fuzzily described MO-MLPP into deterministic MO-MLPP. Then, 15 for specific λ , we construct the membership functions of distance functions from positive ideal 16 solution (PIS) and ne...

The selection of offshore wind farm site (OWFS) has important strategic significance for vigorously developing new energy and is deemed as a complicated uncertain multicriteria decision-making (MCDM) process. To further promote power planning provide decision support, this paper proposes hybrid picture fuzzy (PF) combined compromise solution (CoCoSo) technique prioritization OWFSs. begin with, ...

For an existing IEEE 13-node feeder, Genetic Algorithm (GA) based method is applied to determine the optimal solution to the DOPF problem. An approach to solve optimality problem was proposed, in which a compromise is made on optimality in order to reduce the computational burden. In this paper a 9-bus feeder circuit is developed and performed power flow studies by using MATPOWER 4.1 software. ...

Multiple attributes group decision making (MAGDM) is regarded as the process of determining the best feasible solution by a group of experts or decision makers according to the attributes that represent different effects. In assessing the performance of each alternative with respect to each attribute and the relative importance of the selected attributes, quantitative/qualitative evaluations ar...

This paper formulates a bilevel compromise programming model for allocating resources between pavement and bridge deck maintenances. The first level of the model aims to solve the resource allocation problems for pavementmanagement and bridge deckmaintenance, without considering resource sharing between them. At the second level, the model uses the results from the first step as an input and ge...

in this paper, the numerical solution methods of one- particale, one – dimensional time- independentschrodinger equation are presented that allows one to obtain accurate bound state eigen values andeigen functions for an arbitrary potential energy function v(x). these methods included the fem(finite element method), cooly, numerov and others. here we considered the numerov method inmore details...

In this paper, we focus on group decision making problems with uncertain preference ordinals, in which the weight information of decision makers is completely unknown or partly unknown. First of all, the consistency and deviation measures between two uncertain preference ordinals are defined. Based on the two measures, a multi-objective optimization model which aims to maximize the deviation of...