Solving linear design problems using a linear-fractional value function

کارشناسی ارشد و دکتری - کافه تدریس - وبینارهای حل سوالات کنکور ارشد

Solving linear design problems using a linear-fractional value function
Abstract: Previous papers developed a method to easily elicit a decision maker's (DM) preferences and account for changes in the DM's preference structure. Those preferences are modeled by piecewise linear indifference curves with varying slopes producing a piecewise linear-fractional value function. Compared with traditional optimization problems which traditionally use cost minimization or revenue maximization, this model is DM-specific, it generates a knowledge set (KS) and allows the DM to find an optimal solution based on his/her expertise and preferences. When combined with real world constraints, maximizing the DM's preferences generates a decision support system (DSS) for solving specific organizational problems. This paper develops an efficient algorithm to solve a mathematical programming problem with a linear fractional objective function that models changing DM preferences and linear constraints. A DSS is developed and its algorithm is illustrated by constructing a specific example of the DSS for scheduling a police force when the objective is to maximize the police chief's expertise and preferences regarding law enforcement.
Keywords:	Decision analysis Multiple criteria analysis Linear-fractional preference structure Piecewise linear-fractional model
Author(s):	.
Source:	Decision Support Systems 55 (2013) 110–116
Subject:	تصمیم گیری
Category:	مقاله مجله
Release Date:	2013
No of Pages:	7
Price(Tomans):	0
بر اساس شرایط و ضوابط ارسال مقاله در سایت مدیر، این مطلب توسط یکی از نویسندگان ارسال گردیده است. در صورت مشاهده هرگونه تخلف، با تکمیل فرم گزارش تخلف حقوق مؤلفین مراتب را جهت پیگیری اطلاع دهید.

دریافت متن کامل
332 KB