We propose the use of fuzzy neural networks for finding a good compromise solution to fuzzy multiple objective linear programs (FMOLP).

A key question about animal group decision making is which conditions promote shared or unshared decisions. A recent experiment on sticklebacks demonstrates a compromise solution: turn-taking.

Due to the increase in impact of different manufacturing processes on environment, green are prime focus many current pieces research. In article, a machining process for stainless steel and SS304 AISI1045 has been optimized using newly developed Fuzzy Measurement Alternatives Ranking according COmpromise Solution (F-MARCOS) method form two case studies. first study, nose radius, cutting speed,...

This paper presents a new multiobjective evolutionary algorithm for Environmental/Economic power Dispatch (EED) problem. The EED problem is formulated as a nonlinear constrained multiobjective optimization problem. A new Strength Pareto Evolutionary Algorithm (SPEA) based approach is proposed to handle the problem as a true multiobjective problem with competing and non-commensurable objectives....

In vector quantization the number of vectors used to construct the codebook is always an undefined problem, there is always a compromise between the number of vectors and the quantity of information lost during the compression. In this text we present a minimum of Entropy principle that gives solution to this compromise and represents an Entropy point of view of signal compression in general. A...

A forensics investigation after a breach often uncovers network and host indicators of compromise (IOCs) that can be deployed to sensors to allow early detection of the adversary in the future. Over time, the adversary will change tactics, techniques, and procedures (TTPs), which will also change the data generated. If the IOCs are not kept up-to-date with the adversary’s new TTPs, the adversar...

This research uses a comprehensive method to solve a combinatorial problem of distribution network expansion planning (DNEP) problem. The proposed multi-objective scheme aims to improve power system's accountability and system performance parameters, simultaneously, in the lowest possible costs. The dynamic programming approach is implemented in order to find the optimal sizing, siting and timi...

In today’s competitive market, for a business firm to win higher profit among its rivals, it is of necessity to evaluate, and rank its potential customer segments to improve its Customer Relationship Management (CRM). This brings the importance of having more efficient decision making methods considering the current fast growing information era. These decisions usually involve several criteria,...