This paper presents an analysis of the problem of aggregating preference orderings under subjective uncertainty. Individual preferences, or opinions, agree on the ranking of risky prospects, but are quite general because we do not specify the perception of ambiguity or the attitude towards it. A convexity axiom for the ex-ante preference characterizes a (collective) decision rule that can be in...

A Text stream is a sequence of chronologically ordered documents, being generated in various forms. Multiple text streams that are correlated to each other by sharing common topics. Our aim is to extract the knowledge of the text stream from the listed documents. In particular, vulnerabilities could include compromise of data security and loss of information which leads to data leakage. To prov...

The VIKOR method was developed to solve MCDM problems with conflicting and noncommensurable (different units) criteria, assuming that compromising is acceptable for conflict resolution, the decision maker wants a solution that is the closest to the ideal, and the alternatives are evaluated according to all established criteria. This method focuses on ranking and selecting from a set of alternat...

In a military context, the process of planning operations involves the assessment of the situation, the generation of Courses of Action (COAs), and their evaluation according to significant points of view, in order to select the course of action that represents the best possible compromise. Since several conflicting and quite incommensurable criteria need to be considered and balanced to make w...

A computer program was created to conduct a comparative study of five Multi-Criteria Evaluation Methods (MCEMs), each of which is capable of evaluating alternatives in a resource management setting. The MCEMs included Weighted Average (WA), Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE II), Compromise Programming (CP), ELimination and Choice Translating REality (E...

Many real-world optimization problems involve multiple conflicting objectives and the use of evolutionary algorithms to solve the problems has attracted much attention recently. This paper investigates the application of multi-objective optimization technique for the design of a Thyristor Controlled Series Compensator (TCSC)-based controller to enhance the performance of a power system. The des...

In this paper, we propose a method for the extra resource allocation problem based on data envelopment analysis (DEA). Suppose there are some extra resource such as bonus or material benefits, which can be given to all or only a part of decision making units (DMUs), and if we want the allocation to be most beneficial to the whole system, how the extra resource should be distributed. Since the s...

A new evolutionary multi-objective crowding algorithm (EMOCA) is evaluated using nine benchmark multiobjective optimization problems, and shown to produce non-dominated solutions with significant diversity, outperforming state-of-the-art multi-objective evolutionary algorithms viz., Non-dominated Sorting Genetic Algorithm – II (NSGA-II), Strength Pareto Evolutionary algorithm II (SPEA-II) and P...

This paper proposes a modified particle swarm optimization considering time-varying acceleration coefficients for the economic-emission load dispatch (EELD) problem. The new adaptive parameter is introduced to update the particle movements through the modification of the velocity equation of the classical particle swarm optimization (PSO) algorithm. The idea is to enhance the performance and ro...

The public preferences for environmental quality should be a primary consideration of planners and decision-makers in environmental systems planning. In the first stage of multicriteria analysis, a multi-attribute evaluation model for determining public preferences is formulated. The environmental indices are defined for a comparison of environmental quality in different metropolitan districts....