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With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision makers may be challenged with satisfying multiple criteria using vague information. Fuzzy multi-criteria decision-making (FMCDM) provides an innovative approach for addressing complex problems featuring diverse decision makers’ interests, conflicting objectives and numerous but uncertain bits of information. FMCDM has therefore been widely applied in construction management. With the increase in information complexity, extensions of fuzzy set (FS) theory have been generated and adopted to improve its capacity to address this complexity. Examples include hesitant FSs (HFSs), intuitionistic FSs (IFSs) and type-2 FSs (T2FSs). This chapter introduces commonly used FMCDM methods, examines their applications in construction management and discusses trends in future research and application. The chapter first introduces the MCDM process as well as FS theory and its three main extensions, namely, HFSs, IFSs and T2FSs. The chapter then explores the linkage between FS theory and its extensions and MCDM approaches. In total, 17 FMCDM methods are reviewed and two FMCDM methods (i.e. T2FS-TOPSIS and T2FS-PROMETHEE) are further improved based on the literature. These 19 FMCDM methods with their corresponding applications in construction management are discussed in a systematic manner. This review and development of FS theory and its extensions should help both researchers and practitioners better understand and handle information uncertainty in complex decision problems.

Managing complex construction projects is a challenging task because it involves multiple factors and decision-making processes. A systematic evaluation of these complex factors is imperative for achieving project success. As most of these factors are qualitative or intangible in nature, decision makers often rely on subjective judgements when comparing and evaluating them. The hybrid techniques that integrate fuzzy set theory and the analytic hierarchy process (AHP) are able to deal with such problems. This chapter discusses various hybrid techniques of the fuzzy AHP and presents an application of these techniques to the evaluation of transportation project complexity, which is essential for prioritising resource allocation and assessing project performance. Project complexity can be quantified and visualised effectively with the application of the fuzzy AHP. This chapter enhances the understanding of construction project complexity and fuzzy hybrid computing in construction engineering and management. Future research should address the calibration of fuzzy membership functions in pairwise comparisons for each individual decision maker and develop computational tools for solving optimisation problems in the constrained fuzzy AHP. In the area of construction project complexity, future research should investigate how scarce resources are allocated to better manage complex projects and how appropriate resource allocation improves their performance.

Large regional disparities lead, among other things, to significant internal migration flows. Internal migrations, on the other hand, reinforce existing regional disparities by causing a lack of human capital in underdeveloped regions. In this chapter, we apply the Multiple Criteria Decision Aiding (MCDA) sorting method, ELECTRE Tri-C, to determine the current internal migration potential for districts in Serbia. The method will provide four classes of migration potential, ranging from strong emigration to strong immigration potential, based on the main drivers of internal migration. The main determinants of internal migration flows fall into three groups: (1) economic and labour market indicators, (2) demographic indicators and (3) housing market and amenities indicators.

This paper applies the mixed logit and the latent class models to analyse the heterogeneity in foreign investment location choices in Central and Eastern Europe. The empirical results show that the responsiveness of the probabilities of choices to invest in a particular location to country-level variables differs both across sectors and across firms of different characteristics. The paper highlights the superiority of the latent class model with regards to the model fit and the interpretation of results.

We address an interesting case – the predictability of excess US asset returns from macroeconomic factors within a flexible regime-switching VAR framework – in which the presence of regimes may lead to superior forecasting performance from forecast combinations. After documenting that forecast combinations provide gains in predictive accuracy and that these gains are statistically significant, we show that forecast combinations may substantially improve portfolio selection. We find that the best-performing forecast combinations are those that either avoid estimating the pooling weights or that minimize the need for estimation. In practice, we report that the best-performing combination schemes are based on the principle of relative past forecasting performance. The economic gains from combining forecasts in portfolio management applications appear to be large, stable over time, and robust to the introduction of realistic transaction costs.

We compare the finite sample power of short- and long-horizon tests in nonlinear predictive regression models of regime switching between bull and bear markets, allowing for time varying transition probabilities. As a point of reference, we also provide a similar comparison in a linear predictive regression model without regime switching. Overall, our results do not support the contention of higher power in longer horizon tests in either the linear or nonlinear regime switching models. Nonetheless, it is possible that other plausible nonlinear models provide stronger justification for long-horizon tests.

We investigate whether active involvement of private equity firms in their portfolio companies during the holding period of a later-stage private equity investment is related to increased levels in operating performance of these companies. Our analysis of unique survey data on 267 European buyouts and secondary performance data on 29 portfolio companies using partial least squares structural equation modeling indicates that private equity firms, that is, their board representatives, can increase operating performance not only by monitoring the behavior of top managers of portfolio companies, but also by becoming involved in strategic decisions and supporting top managers through the provision of strategic resources. Strategic resources, in particular expertise and networks, provided by private equity firm representatives in the form of financial and strategic involvement are associated with increases in the financial performance and competitive prospects of portfolio companies. Operational involvement, however, is not related to changes in operating performance. In addition to empirical insights into the different types of involvement and their effects, this chapter contributes to the buyout literature by providing support for the suggested broadening of the theoretical discussion beyond the dominant perspective of agency theory through developing and testing a complementary resource-based view of involvement. This allows taking into account not only the monitoring, but also the more entrepreneurial supporting element of involvement by private equity firms.

This chapter documents how the shift in psychiatric representation from the “morally insane” perpetrator of the 19th century to the modern psychopath or person with anti-social personality disorder involves a recasting of the offender from someone afflicted with an illness whose criminal misconduct is merely a symptom of their disorder to someone whose criminal misconduct is perceived as an expression of their true character. Drawing upon recent case law, the article then shows how prosecutors deploy this modern psychiatric reconfiguring during the penalty phase of the US capital trial to persuade jurors to decide in favor of death over life without parole. Central to the building of this narrative is the reframing of the offenders’ silences as well as what are taken as their unconvincing attempts to show remorse as evidence of a pathology whose primary manifestation is the incapacity to feel or experience moral emotions. Applying but also modifying Harold Garfinkel's work on degradation ceremonies, the chapter shows how the pathologizing of the offender's lack of remorse involves a rite of passage in which he or she is symbolically demoted from someone worthy of life in spite of their grievous crime to someone for whom death is the only appropriate penalty.