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This paper demonstrates a Goal Programming (GP) Procedure for modeling and solving land utilization planning problems having interval-valued objective goals for optimal production of seasonal crops in agricultural system. In the proposed approach, utilization of total land for cultivation, aspiration levels of production of crops, expected profit from the farm as well as certain ratios of crops production...
This article presents a fuzzy goal programming (FGP) procedure for solving a stochastic multiobjective decision making (MODM) problem having the finite probabilistic aspiration levels for achievement of the chance constrained goals. In the proposed approach, the different chance parameters involved with the stochastically defined goal constraints are considered continuously distributed independent...
This paper demonstrates a fuzzy goal programming (FGP) procedure for modeling and solving patrol manpower deployment problems of Metropolitan cities to deterring traffic violations and accidents and thereby reducing accident rate in a traffic control planning horizon. In the proposed approach, the different structural constraints and various relationships involved with patrol manpower deployment problem...
This article presents a linear approximation approach to the fuzzy goal programming (FGP) formulation of solving multiobjective decision making (MODM) problems with chance constraints. In the proposed approach, first the chance constraints are converted into their deterministic equivalent in the decision making environment. Then, the individual best and worst solutions of each of the objectives are...
In recent years, a number of requirements engineering (RE) proposals for a data warehouse (DW) systems have been made. In the traditional/operational systems, requirements engineering has been divided into two phases: early & late requirements engineering phase. Most of the data warehouse requirements engineering (DWRE) approaches have not distinguished early requirements engineering phase from...
We present an architecture for self-configuration of network entities for QoS and Security, based on the health of the network. In the architecture, we firstly present a novel data collection mechanism that integrates various network inputs such as flow data, packet data and SNMP values. Secondly we present our analysis of these inputs based on QoS and Security aspects and discuss analysis mechanisms...
Multiwavelets technique is here proposed to classify the power quality (PQ) events. This leads to easy extraction of feature set. In the proposed classification scheme initially the events are detected from the test data in accordance with the IEEE standards. Then, two sub-classifiers, namely, chi-square distribution and heuristic classifier with different confidence levels have been used along with...
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