Logical Fuzzy Optimization
نویسنده
چکیده
We present a logical framework to represent and reason about fuzzy optimization problems based on fuzzy answer set optimization programming. This is accomplished by allowing fuzzy optimization aggregates, e.g., minimum and maximum in the language of fuzzy answer set optimization programming to allow minimization or maximization of some desired criteria under fuzzy environments. We show the application of the proposed logical fuzzy optimization framework under the fuzzy answer set optimization programming to the fuzzy water allocation optimization problem.
منابع مشابه
Logical Fuzzy Preferences
We present a unified logical framework for representing and reasoning about both quantitative and qualitative preferences in fuzzy answer set programming [Saad, 2010; Saad, 2009; Subrahmanian, 1994], called fuzzy answer set optimization programs. The proposed framework is vital to allow defining quantitative preferences over the possible outcomes of qualitative preferences. We show the applicat...
متن کاملMulti-logical Fuzzy Petri Nets
This paper introduces a new method of empowering Logical Petri Nets (LPN) and Fuzzy Logical Petri Nets (FLPN) [1] using multiple logic. In this paper we proposed a Multi-Logical Petri Nets (MLPN) and Multi-Logical Fuzzy Petri Nets (MLFPN) based on Logical Petri Nets (LPN) and Fuzzy Logical Petri Nets (FLPN). Here we have showed that, how multiple logic is implemented in MLPN and MLFPN. The prop...
متن کاملInteractive multiple objective programming in optimization of the fully fuzzy quadratic programming problems
In this paper, a quadratic programming (FFQP) problem is considered in which all of the cost coefficients, constraints coefficients, and right hand side of the constraints are characterized by L-R fuzzy numbers. Through this paper, the concept of α- level of fuzzy numbers for the objective function, and the order relations on the fuzzy numbers for the constraints are considered. To optimize th...
متن کاملA new methodology of extraction, optimization and application of crisp and fuzzy logical rules
A new methodology of extraction, optimization, and application of sets of logical rules is described. Neural networks are used for initial rule extraction, local or global minimization procedures for optimization, and Gaussian uncertainties of measurements are assumed during application of logical rules. Algorithms for extraction of logical rules from data with real-valued features require dete...
متن کاملDesigning Decision Maker in a Smart Home for Energy Consumption Optimization Using Fuzzy Modeling
existed electricity grids deliver produced power to the consumer passing through transmission and distribution grids. According to high losses of these grids in transmission level and inexistence of bilateral interaction for simultaneous information exchange, a concept of smart grids were made by capabilities such as consciously participation of consumers in the smart electricity grids, an amou...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- CoRR
دوره abs/1304.2384 شماره
صفحات -
تاریخ انتشار 2013