Bilal Ervural

Multiple attribute group decision making

The research activities in group decision making have dramatically increased over the last decade. In particular, the application of multiple attribute decision-making methods to group decision-making problems occupies a vast area in the related literature. However, there is no systematic classification scheme for these researches. This paper presents a generic conceptual framework and a classification scheme for multiple attribute group decision-making methods. The proposed framework consists of three main stages: the structuring and construction stage, the assessment stage, and the selection/ranking stage, providing not only an outline for classification but also a road map for the researchers working on this topic. Furthermore, top cited papers are classified based on this classification scheme in order to clarify the state of the art and to identify future research directions. As a result, eight significant suggestions for future research are identified.

A taxonomy for multiple attribute group decision making literature

The research activities on group decision making has dramatically increased in last decade. Especially the application of multiple attribute decision making methods to group decision making problems occupies a vast area in the related literature. However there is no systematical classification scheme for these researches. This paper presents a taxonomy for multiple attribute group decision making methods. It classifies top cited papers accordingly in order to show the state of the art and to identify future research directions. The results show that majority of the related studies uses fuzzy sets theory based methods.

Cumulative Belief Degrees Approach for Assessment of Sustainable Development

Over the past decades, sustainable development has emerged as one of the most prominent issues at all levels of society, from the global to the local level. To achieve a better balance between the economic, social and environmental dimensions of sustainable development in all countries of the world, starting from underdeveloped countries to developed countries, the right implementation of the sustainable development principles has a strategic significance that shapes the future of the countries. In this respect, measurement of sustainable development performance of countries is necessary in order to apply right sustainable development strategies, track the process, investigate the interactions between sustainability aspects, etc. The main purpose of this chapter is to demonstrate a new approach for measuring sustainable development levels of the countries using a cumulative belief degree approach. The approach enables the use of an incomplete data that is one of the critical problems in measuring sustainability of countries. Twenty-seven indicators for measuring 20 themes are selected based on the recommendations of United Nations Economic Commission for Europe (UNECE) and data availability. Finally, the proposed approach is applied to rank 138 countries according to their sustainable development performances based on the most recent data available.

Overview of Cyber Security in the Industry 4.0 Era

The global development industry is in the midst of a transformation to meet today’s more complex and highly competitive industry demands. With the rapid advances in technology, a new phenomenon has emerged in the current era, Industry 4.0. The integration of information technology and operational technology brings newer challenges, especially cyber security. In this chapter, one of the most popular topics of recent times, cyber security issue, has been investigated. The occurrence of the Internet of Things (IoT), has also dramatically altered the appearance of cyber threat. Security threats and vulnerabilities of IoT, industrial challenges, main reasons of cyber-attacks, cyber security requirement and some cyber security measures/methods are discussed with a global perspective involving both the public and private sector in the IoT context.

Evaluation of Flexible Manufacturing Systems Using a Hesitant Group Decision Making Approach

Abstract Flexible manufacturing systems (FMS) are capable of processing various parts, styles, and quantities of production in manufacturing systems. It is a quite complex process for companies to decide the appropriate FMS design as it involves multiple and conflicting criteria and multiple decision makers under various uncertainties. The fuzzy set theory offers an efficient tool to cope with vagueness and to define performance measurement of FMS in a multi-attribute group decision making (MAGDM) framework. In this study, we present a MAGDM approach based on hesitant fuzzy sets to evaluate FMS in a fuzzy environment. A practical example is provided to demonstrate the proposed methodology. In addition, the performance of the method is assessed by a comparative study and sensitivity analysis. The results of the analysis show that the MAGDM approach is a useful tool for experts in terms of evaluation of FMS.

Fuzzy Sets in the Evaluation of Socio-Ecological Systems: An Interval-Valued Intuitionistic Fuzzy Multi-criteria Approach

In recent days, the use of the fuzzy set theory to deal with social complexity has become more attractive as a research area to academics who wish to contribute to sustainable development. The socio-ecological systems are one of the well-known sub-disciplines of social science which is very critical issue to maintain sustainability and this concept basically concerns with the human-environment interactions. These systems involve various stakeholders with different levels of knowledge and experience from diverse social platforms. The basic characteristic of these systems is identified as having high level of uncertainty and incomplete information. The main purpose of this chapter is to demonstrate how to incorporate fuzzy sets theory into social sciences. In this chapter, an illustrative example which consists of a wide variety of social actors is used to evaluate sustainable management options utilizing the extended technique for order preference by similarity to ideal solution (TOPSIS) method for interval valued intuitionistic fuzzy multi-criteria group decision making.